GPTCache
GPTCache is a library for creating semantic cache to store responses from LLM queries.
Creator: zilliztech
Stars ⭐️: 2.8k
Forked By: 175
https://github.com/zilliztech/GPTCache
#GPT_Cache
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GPTCache is a library for creating semantic cache to store responses from LLM queries.
Creator: zilliztech
Stars ⭐️: 2.8k
Forked By: 175
https://github.com/zilliztech/GPTCache
#GPT_Cache
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GitHub
GitHub - zilliztech/GPTCache: Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
Semantic cache for LLMs. Fully integrated with LangChain and llama_index. - GitHub - zilliztech/GPTCache: Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
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gpt4free
decentralising the Ai Industry, just some language model api's...
Creator: xtekky
Stars ⭐️: 16.5k
Forked By: 2k
https://github.com/xtekky/gpt4free
#gpt #gpt4 #AI
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decentralising the Ai Industry, just some language model api's...
Creator: xtekky
Stars ⭐️: 16.5k
Forked By: 2k
https://github.com/xtekky/gpt4free
#gpt #gpt4 #AI
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GitHub
GitHub - xtekky/gpt4free: The official gpt4free repository | various collection of powerful language models | o4, o3 and deepseek…
The official gpt4free repository | various collection of powerful language models | o4, o3 and deepseek r1, gpt-4.1, gemini 2.5 - xtekky/gpt4free
AI-Collection
The Generative AI Landscape - A Collection of Awesome Generative AI Applications
Creator: ai-collection
Stars ⭐️: 3.9k
Forked By: 288
https://github.com/ai-collection/ai-collection
#AI #AI_Collection
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The Generative AI Landscape - A Collection of Awesome Generative AI Applications
Creator: ai-collection
Stars ⭐️: 3.9k
Forked By: 288
https://github.com/ai-collection/ai-collection
#AI #AI_Collection
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GitHub
GitHub - ai-collection/ai-collection: The Generative AI Landscape - A Collection of Awesome Generative AI Applications
The Generative AI Landscape - A Collection of Awesome Generative AI Applications - ai-collection/ai-collection
SuperAGI
SuperAGI: An open-source framework for building, managing, and running useful autonomous AI agents. You can run concurrent agents, and add custom tools. The web version will be out soon.
Creator: TransformerOptimus
Stars ⭐️: 1k
Forked By: 101
https://github.com/TransformerOptimus/SuperAGI
This one is also created by one of our subscribers
#superagi #ai #agi #agents #autonomousagents
SuperAGI: An open-source framework for building, managing, and running useful autonomous AI agents. You can run concurrent agents, and add custom tools. The web version will be out soon.
Creator: TransformerOptimus
Stars ⭐️: 1k
Forked By: 101
https://github.com/TransformerOptimus/SuperAGI
This one is also created by one of our subscribers
#superagi #ai #agi #agents #autonomousagents
GitHub
GitHub - TransformerOptimus/SuperAGI: <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers…
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably. - TransformerOptimus/SuperAGI
loopgpt
Modular Auto-GPT Framework
Creator: Fariz Rahman
Stars ⭐️: 598
Forked By: 56
https://github.com/farizrahman4u/loopgpt
#loop #gpt
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Modular Auto-GPT Framework
Creator: Fariz Rahman
Stars ⭐️: 598
Forked By: 56
https://github.com/farizrahman4u/loopgpt
#loop #gpt
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GitHub
GitHub - farizrahman4u/loopgpt: Modular Auto-GPT Framework
Modular Auto-GPT Framework. Contribute to farizrahman4u/loopgpt development by creating an account on GitHub.
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R for Data Science
A weekly data project aimed at the R ecosystem. As this project was borne out of the R4DS Online Learning Community and the R for Data Science textbook, an emphasis was placed on understanding how to summarize and arrange data to make meaningful charts with ggplot2, tidyr, dplyr, and other tools in the tidyverse ecosystem. However, any code-based methodology is welcome - just please remember to share the code used to generate the results.
Creator: rfordatascience
Stars ⭐️: 5.6k
Forked By: 2.3k
https://github.com/rfordatascience/tidytuesday
#R #data_science
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A weekly data project aimed at the R ecosystem. As this project was borne out of the R4DS Online Learning Community and the R for Data Science textbook, an emphasis was placed on understanding how to summarize and arrange data to make meaningful charts with ggplot2, tidyr, dplyr, and other tools in the tidyverse ecosystem. However, any code-based methodology is welcome - just please remember to share the code used to generate the results.
Creator: rfordatascience
Stars ⭐️: 5.6k
Forked By: 2.3k
https://github.com/rfordatascience/tidytuesday
#R #data_science
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GitHub
GitHub - rfordatascience/tidytuesday: Official repo for the #tidytuesday project
Official repo for the #tidytuesday project. Contribute to rfordatascience/tidytuesday development by creating an account on GitHub.
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GPT Engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
GPT Engineer is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt.
You can specify the "identity" of the AI agent by editing the files in the identity folder.
Editing the identity, and evolving the main_prompt, is currently how you make the agent remember things between projects.
Each step in steps.py will have its communication history with GPT4 stored in the logs folder, and can be rerun with noscripts/rerun_edited_message_logs.py.
Creator: Anton Osika
Stars ⭐️: 2.4k
Forked By: 291
https://github.com/AntonOsika/gpt-engineer
#GPT #AI #GPT_Enginner
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Specify what you want it to build, the AI asks for clarification, and then builds it.
GPT Engineer is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt.
You can specify the "identity" of the AI agent by editing the files in the identity folder.
Editing the identity, and evolving the main_prompt, is currently how you make the agent remember things between projects.
Each step in steps.py will have its communication history with GPT4 stored in the logs folder, and can be rerun with noscripts/rerun_edited_message_logs.py.
Creator: Anton Osika
Stars ⭐️: 2.4k
Forked By: 291
https://github.com/AntonOsika/gpt-engineer
#GPT #AI #GPT_Enginner
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GitHub
GitHub - AntonOsika/gpt-engineer: CLI platform to experiment with codegen. Precursor to: https://lovable.dev
CLI platform to experiment with codegen. Precursor to: https://lovable.dev - AntonOsika/gpt-engineer
30 seconds of code
This repository contains short code snippets for all your development needs. The repository mainly focuses on JavaScript and has shortcodes for Python, CSS, Git, and JS Algorithms. They also have a website for ease of access to the content.
Stars: ⭐️ 90k
Forked by: 10k
GitHub repo: https://github.com/30-seconds
#javanoscript #python #css #git
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This repository contains short code snippets for all your development needs. The repository mainly focuses on JavaScript and has shortcodes for Python, CSS, Git, and JS Algorithms. They also have a website for ease of access to the content.
Stars: ⭐️ 90k
Forked by: 10k
GitHub repo: https://github.com/30-seconds
#javanoscript #python #css #git
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30 seconds of code
The team behind 30 seconds of code. 30 seconds of code has one repository available. Follow their code on GitHub.
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Intel One Mono font repository
Introducing Intel One Mono, an expressive monospaced font family that’s built with clarity, legibility, and the needs of developers in mind. It’s easier to read, and available for free, with an open-source font license.
Identifying the typographically underserved low-vision developer audience, Frere-Jones Type designed the Intel One Mono typeface in partnership with the Intel Brand Team and VMLY&R, for maximum legibility to address developers' fatigue and eyestrain and reduce coding errors. A panel of low-vision and legally blind developers provided feedback at each stage of design.
Intel One Mono also covers a wide range of over 200 languages using the Latin noscript. The Intel One Mono fonts are provided in four weights — Light, Regular, Medium, and Bold — with matching italics, and we are happy to share both an official release of fonts ready to use as well as editable sources.
Stars: ⭐️ 5.8k
Forked by: 265
GitHub repo: https://github.com/intel/intel-one-mono
#intel #momo #font
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Introducing Intel One Mono, an expressive monospaced font family that’s built with clarity, legibility, and the needs of developers in mind. It’s easier to read, and available for free, with an open-source font license.
Identifying the typographically underserved low-vision developer audience, Frere-Jones Type designed the Intel One Mono typeface in partnership with the Intel Brand Team and VMLY&R, for maximum legibility to address developers' fatigue and eyestrain and reduce coding errors. A panel of low-vision and legally blind developers provided feedback at each stage of design.
Intel One Mono also covers a wide range of over 200 languages using the Latin noscript. The Intel One Mono fonts are provided in four weights — Light, Regular, Medium, and Bold — with matching italics, and we are happy to share both an official release of fonts ready to use as well as editable sources.
Stars: ⭐️ 5.8k
Forked by: 265
GitHub repo: https://github.com/intel/intel-one-mono
#intel #momo #font
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GitHub
GitHub - intel/intel-one-mono: Intel One Mono font repository
Intel One Mono font repository. Contribute to intel/intel-one-mono development by creating an account on GitHub.
AI For Beginners
Different approaches to Artificial Intelligence, including the "good old" symbolic approach with Knowledge Representation and reasoning (GOFAI).
Neural Networks and Deep Learning, which are at the core of modern AI. We will illustrate the concepts behind these important topics using code in two of the most popular frameworks - TensorFlow and PyTorch.
Neural Architectures for working with images and text. We will cover recent models but may lack a little bit on the state-of-the-art.
Less popular AI approaches, such as Genetic Algorithms and Multi-Agent Systems.
Creator: Microsoft
Stars: ⭐️ 11.8k
Forked by: 1.9k
GitHub repo: https://github.com/microsoft/AI-For-Beginners
#AI #Artificial_Intelligence
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Different approaches to Artificial Intelligence, including the "good old" symbolic approach with Knowledge Representation and reasoning (GOFAI).
Neural Networks and Deep Learning, which are at the core of modern AI. We will illustrate the concepts behind these important topics using code in two of the most popular frameworks - TensorFlow and PyTorch.
Neural Architectures for working with images and text. We will cover recent models but may lack a little bit on the state-of-the-art.
Less popular AI approaches, such as Genetic Algorithms and Multi-Agent Systems.
Creator: Microsoft
Stars: ⭐️ 11.8k
Forked by: 1.9k
GitHub repo: https://github.com/microsoft/AI-For-Beginners
#AI #Artificial_Intelligence
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GitHub
GitHub - microsoft/AI-For-Beginners: 12 Weeks, 24 Lessons, AI for All!
12 Weeks, 24 Lessons, AI for All! Contribute to microsoft/AI-For-Beginners development by creating an account on GitHub.
FlagAI (Fast LArge-scale General AI models)
FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model. Our goal is to support training, fine-tuning, and deployment of large-scale models on various downstream tasks with multi-modality. FlagAI provides an API that allows you to quickly download pre-trained models and fine-tune them on a wide range of datasets collected from SuperGLUE and CLUE benchmarks for both Chinese and English text.
FlagAI now supports over 30 mainstream models, including Language Model Aquila, multilingual text and image representation model AltCLIP, text-to-image generation model AltDiffusion Huggingface space, WuDao GLM (with a maximum of 10 billion parameters), EVA-CLIP, OPT, BERT, RoBERTa, GPT2, T5, ALM, and models from Huggingface Transformers, etc.
Creator: FlagAI
Stars: ⭐️ 2.9k
Forked by: 414
GitHub repo: https://github.com/FlagAI-Open/FlagAI
#FlagAI #Artificial_Intelligence
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FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model. Our goal is to support training, fine-tuning, and deployment of large-scale models on various downstream tasks with multi-modality. FlagAI provides an API that allows you to quickly download pre-trained models and fine-tune them on a wide range of datasets collected from SuperGLUE and CLUE benchmarks for both Chinese and English text.
FlagAI now supports over 30 mainstream models, including Language Model Aquila, multilingual text and image representation model AltCLIP, text-to-image generation model AltDiffusion Huggingface space, WuDao GLM (with a maximum of 10 billion parameters), EVA-CLIP, OPT, BERT, RoBERTa, GPT2, T5, ALM, and models from Huggingface Transformers, etc.
Creator: FlagAI
Stars: ⭐️ 2.9k
Forked by: 414
GitHub repo: https://github.com/FlagAI-Open/FlagAI
#FlagAI #Artificial_Intelligence
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GitHub
GitHub - FlagAI-Open/FlagAI: FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large…
FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model. - FlagAI-Open/FlagAI
The Virtual DOM Replacement for React
Million is an extremely fast and lightweight (<4kb) virtual DOM that makes React components up to 70% faster.
Oh man... Another /virtual dom|javanoscript/gi framework? I'm fine with React already, why do I need this?
Million works with React. Million makes creating web apps just as easy (It's just wrapping a React component!), but with faster rendering and loading speeds. By using a fine-tuned, optimized virtual DOM, Million.js reduces the overhead of React (try it out here)
Million.js is a library that enables you to create blocks. A block is a special Higher Order Components (HOCs) that can be used as a React component but are hyper-optimized for rendering speed.
Creator: Aiden Bai
Stars: ⭐️ 10.1k
Forked by: 286
GitHub repo: https://github.com/aidenybai/million
#million #react #million_js
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Million is an extremely fast and lightweight (<4kb) virtual DOM that makes React components up to 70% faster.
Oh man... Another /virtual dom|javanoscript/gi framework? I'm fine with React already, why do I need this?
Million works with React. Million makes creating web apps just as easy (It's just wrapping a React component!), but with faster rendering and loading speeds. By using a fine-tuned, optimized virtual DOM, Million.js reduces the overhead of React (try it out here)
Million.js is a library that enables you to create blocks. A block is a special Higher Order Components (HOCs) that can be used as a React component but are hyper-optimized for rendering speed.
Creator: Aiden Bai
Stars: ⭐️ 10.1k
Forked by: 286
GitHub repo: https://github.com/aidenybai/million
#million #react #million_js
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GitHub - aidenybai/million: Optimizing compiler for React
Optimizing compiler for React. Contribute to aidenybai/million development by creating an account on GitHub.
❤2
Public APIs
A collective list of free APIs
Creator: public-apis
Stars: ⭐️ 244k
Forked by: 27.8k
GitHub repo: https://github.com/public-apis/public-apis
#public #apis
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A collective list of free APIs
Creator: public-apis
Stars: ⭐️ 244k
Forked by: 27.8k
GitHub repo: https://github.com/public-apis/public-apis
#public #apis
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GitHub - public-apis/public-apis: A collective list of free APIs
A collective list of free APIs. Contribute to public-apis/public-apis development by creating an account on GitHub.
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Audiocraft
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
Audiocraft provides the code and models for MusicGen, a simple and controllable model for music generation. MusicGen is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz. Unlike existing methods like MusicLM, MusicGen doesn't require a self-supervised semantic representation, and it generates all 4 codebooks in one pass. By introducing a small delay between the codebooks, we show we can predict them in parallel, thus having only 50 auto-regressive steps per second of audio.
Creator: Meta Research
Stars: ⭐️ 6.5k
Forked by: 561
GitHub repo: https://github.com/facebookresearch/audiocraft
#Audio #craft #audiocraft
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Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
Audiocraft provides the code and models for MusicGen, a simple and controllable model for music generation. MusicGen is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz. Unlike existing methods like MusicLM, MusicGen doesn't require a self-supervised semantic representation, and it generates all 4 codebooks in one pass. By introducing a small delay between the codebooks, we show we can predict them in parallel, thus having only 50 auto-regressive steps per second of audio.
Creator: Meta Research
Stars: ⭐️ 6.5k
Forked by: 561
GitHub repo: https://github.com/facebookresearch/audiocraft
#Audio #craft #audiocraft
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GitHub
GitHub - facebookresearch/audiocraft: Audiocraft is a library for audio processing and generation with deep learning. It features…
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable...
👍2
AI Tutor
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
Unlock the potential of GPT-4 with Mr. Ranedeer AI Tutor, a customizable prompt that delivers personalized learning experiences for users with diverse needs and interests.
Creator: Jush
Stars: ⭐️ 13.9k
Forked by: 1.3k
GitHub repo: https://github.com/JushBJJ/Mr.-Ranedeer-AI-Tutor
#AI #GPT_4 #Tutor
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A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
Unlock the potential of GPT-4 with Mr. Ranedeer AI Tutor, a customizable prompt that delivers personalized learning experiences for users with diverse needs and interests.
Creator: Jush
Stars: ⭐️ 13.9k
Forked by: 1.3k
GitHub repo: https://github.com/JushBJJ/Mr.-Ranedeer-AI-Tutor
#AI #GPT_4 #Tutor
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GitHub - JushBJJ/Mr.-Ranedeer-AI-Tutor: A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences. - JushBJJ/Mr.-Ranedeer-AI-Tutor
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background removal js
Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo.
Creator: Imgly
Stars: ⭐️ 2k
Forked by: 95
GitHub repo: https://github.com/imgly/background-removal-js
#image #background #remover #js
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Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo.
Creator: Imgly
Stars: ⭐️ 2k
Forked by: 95
GitHub repo: https://github.com/imgly/background-removal-js
#image #background #remover #js
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GitHub - imgly/background-removal-js: Remove backgrounds from images directly in the browser environment with ease and no additional…
Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo. - imgly/background-removal-js
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tinygrad
You like pytorch? You like micrograd? You love tinygrad! This may not be the best deep learning framework, but it is a deep learning framework.
Due to its extreme simplicity, it aims to be the easiest framework to add new accelerators to, with support for both inference and training. If XLA is CISC, tinygrad is RISC.
tinygrad is still alpha software, but we raised some money to make it good. Someday, we will tape out chips.
Creator: tinygrad
Stars: ⭐️ 16.7k
Forked by: 2k
GitHub repo: https://github.com/geohot/tinygrad
#tinygrad #deep #learning
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You like pytorch? You like micrograd? You love tinygrad! This may not be the best deep learning framework, but it is a deep learning framework.
Due to its extreme simplicity, it aims to be the easiest framework to add new accelerators to, with support for both inference and training. If XLA is CISC, tinygrad is RISC.
tinygrad is still alpha software, but we raised some money to make it good. Someday, we will tape out chips.
Creator: tinygrad
Stars: ⭐️ 16.7k
Forked by: 2k
GitHub repo: https://github.com/geohot/tinygrad
#tinygrad #deep #learning
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GitHub
GitHub - tinygrad/tinygrad: You like pytorch? You like micrograd? You love tinygrad! ❤️
You like pytorch? You like micrograd? You love tinygrad! ❤️ - GitHub - tinygrad/tinygrad: You like pytorch? You like micrograd? You love tinygrad! ❤️
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Apollo-Custom Api Credentials
Tweak to use your own reddit API credentials in Apollo
sign out of all accounts in Apollo before installing
Install the tweak and launch Apollo.
When prompted, sign into reddit.com.
After signing in, you'll be redirected to your account's "developer apps" page.
A new developer app needs to be created. The tweak will autopopulate all fields with the correct information.
Complete the Captcha and click create app.
Once the app has been created, you will land on the Apollo Home feed.
Creator: Ethan Arbuckle
Stars: ⭐️ 683
Forked by: 173
GitHub repo: https://github.com/EthanArbuckle/Apollo-CustomApiCredentials
#Apollo #custom #API
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Tweak to use your own reddit API credentials in Apollo
sign out of all accounts in Apollo before installing
Install the tweak and launch Apollo.
When prompted, sign into reddit.com.
After signing in, you'll be redirected to your account's "developer apps" page.
A new developer app needs to be created. The tweak will autopopulate all fields with the correct information.
Complete the Captcha and click create app.
Once the app has been created, you will land on the Apollo Home feed.
Creator: Ethan Arbuckle
Stars: ⭐️ 683
Forked by: 173
GitHub repo: https://github.com/EthanArbuckle/Apollo-CustomApiCredentials
#Apollo #custom #API
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GitHub
GitHub - EthanArbuckle/Apollo-CustomApiCredentials: Tweak to use your own reddit API credentials in Apollo
Tweak to use your own reddit API credentials in Apollo - EthanArbuckle/Apollo-CustomApiCredentials
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local GPT
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private. In this model, I have replaced the GPT4ALL model with Vicuna-7B model and we are using the InstructorEmbeddings instead of LlamaEmbeddings as used in the original privateGPT. Both Embeddings as well as LLM will run on GPU instead of CPU. It also has CPU support if you do not have a GPU (see below for instruction).
Ask questions to your documents without an internet connection, using the power of LLMs. 100% private, no data leaves your execution environment at any point. You can ingest documents and ask questions without an internet connection!
Creator: Prompt Engineer
Stars: ⭐️ 9.7k
Forked by: 927
GitHub repo: https://github.com/PromtEngineer/localGPT
#gpt #local #localgpt
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Chat with your documents on your local device using GPT models. No data leaves your device and 100% private. In this model, I have replaced the GPT4ALL model with Vicuna-7B model and we are using the InstructorEmbeddings instead of LlamaEmbeddings as used in the original privateGPT. Both Embeddings as well as LLM will run on GPU instead of CPU. It also has CPU support if you do not have a GPU (see below for instruction).
Ask questions to your documents without an internet connection, using the power of LLMs. 100% private, no data leaves your execution environment at any point. You can ingest documents and ask questions without an internet connection!
Creator: Prompt Engineer
Stars: ⭐️ 9.7k
Forked by: 927
GitHub repo: https://github.com/PromtEngineer/localGPT
#gpt #local #localgpt
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GitHub
GitHub - PromtEngineer/localGPT: Chat with your documents on your local device using GPT models. No data leaves your device and…
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private. - GitHub - PromtEngineer/localGPT: Chat with your documents on your local device using ...
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python-training
Python training for business analysts and traders. This is designed to be an introduction to numerical computing and data visualization in Python. It is not designed to be a complete course in Computer Science or programming, but rather a motivational demonstration of how relatively complex topics can be accessible even to those without formal progamming backgrounds.
Creator: J.P. Morgan
Stars: ⭐️ 2.9k
Forked by: 709
GitHub repo: https://github.com/jpmorganchase/python-training
#python #training
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Python training for business analysts and traders. This is designed to be an introduction to numerical computing and data visualization in Python. It is not designed to be a complete course in Computer Science or programming, but rather a motivational demonstration of how relatively complex topics can be accessible even to those without formal progamming backgrounds.
Creator: J.P. Morgan
Stars: ⭐️ 2.9k
Forked by: 709
GitHub repo: https://github.com/jpmorganchase/python-training
#python #training
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GitHub
GitHub - jpmorganchase/python-training: Python training for business analysts and traders
Python training for business analysts and traders. Contribute to jpmorganchase/python-training development by creating an account on GitHub.
QR code Toolkit
Anthony's QR Code Toolkit for AI generated QR Codes. A toolkit mainly for AI-Generated QR Codes, with the ability to generate base QR codes, and compare with the output to find misaligned pixels.
Creator: Anthony Fu
Stars: ⭐️ 568
Forked by: 74
GitHub repo: https://github.com/antfu/qrcode-toolkit
#qrcode #toolkit
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Anthony's QR Code Toolkit for AI generated QR Codes. A toolkit mainly for AI-Generated QR Codes, with the ability to generate base QR codes, and compare with the output to find misaligned pixels.
Creator: Anthony Fu
Stars: ⭐️ 568
Forked by: 74
GitHub repo: https://github.com/antfu/qrcode-toolkit
#qrcode #toolkit
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GitHub
GitHub - antfu/qrcode-toolkit: Anthony's QR Code Toolkit for AI generated QR Codes
Anthony's QR Code Toolkit for AI generated QR Codes - antfu/qrcode-toolkit
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