ntfy

ntfy (pronounced "notify") is a simple HTTP-based pub-sub notification service. With ntfy, you can send notifications to your phone or desktop via noscripts from any computer, without having to sign up or pay any fees. If you'd like to run your own instance of the service, you can easily do so since ntfy is open source.

Creator: Philipp C. Heckel
Stars: ⭐️ 13k
Forked by: 463
GitHub repo: https://github.com/binwiederhier/ntfy

#ntfy
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freeCodeCamp

freeCodeCamp org is a friendly community where you can learn to code for free. It is run by a donor-supported 501(c)(3) charity to help millions of busy adults transition into tech. Our community has already helped more than 40,000 people get their first developer job.

Our full-stack web development and machine learning curriculum is completely free and self-paced. We have thousands of interactive coding challenges to help you expand your skills.

Creator: freeCodeCamp
Stars: ⭐️ 373k
Forked by: 33.4k
GitHub repo: https://github.com/freeCodeCamp/freeCodeCamp

#freeCodeCamp
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Language Tool

LanguageTool is an Open Source proofreading software for English, Spanish, French, German, Portuguese, Polish, Dutch, and more than 20 other languages. It finds many errors that a simple spell checker cannot detect.

Creator: LanguageTool
Stars: ⭐️ 9.8k
Forked by: 1.1k
GitHub repo: https://github.com/languagetool-org/languagetool

#tools #LanguageTools
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Semantic-kernel

Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of code.

What makes Semantic Kernel special, however, is its ability to automatically orchestrate plugins with AI. With Semantic Kernel planners, you can ask an LLM to generate a plan that achieves a user's unique goal. Afterwards, Semantic Kernel will execute the plan for the user.

Creator: Microsoft
Stars: ⭐️ 12.6k
Forked by: 1.8k
GitHub repo: https://github.com/microsoft/semantic-kernel

#semantic #kernal
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ML For Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Creator: microsoft
Stars ⭐️: 53.7k
Forked By: 11.3k
https://github.com/microsoft/ML-For-Beginners

#microsoft #ml
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DocsGPT

DocsGPT is a cutting-edge open-source solution that streamlines the process of finding information in project documentation. With its integration of the powerful GPT models, developers can easily ask questions about a project and receive accurate answers.

Say goodbye to time-consuming manual searches, and let DocsGPT help you quickly find the information you need. Try it out and see how it revolutionizes your project documentation experience. Contribute to its development and be a part of the future of AI-powered assistance.

Creator: Arc53
Stars ⭐️: 7.4k
Forked By: 769
https://github.com/arc53/DocsGPT

#DocsGPT #GPT
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jvector

JVector is a pure Java, zero dependency, embedded vector search engine, used by DataStax Astra DB and (soon) Apache Cassandra.

What is JVector?

Algorithmic-fast. JVector uses state of the art graph algorithms inspired by DiskANN and related research that offer high recall and low latency.
Implementation-fast. JVector uses the Panama SIMD API to accelerate index build and queries.
Memory efficient. JVector compresses vectors using product quantization so they can stay in memory during searches. (As part of our PQ implementation, our SIMD-accelerated kmeans class is 5x faster than the one in Apache Commons Math.)
Disk-aware. JVector’s disk layout is designed to do the minimum necessary iops at query time.
Concurrent. Index builds scale linearly to at least 32 threads. Double the threads, half the build time.
Incremental. Query your index as you build it. No delay between adding a vector and being able to find it in search results.
Easy to embed. API designed for easy embedding, by people using it in production.

Creator: Jonathan Ellis
Stars ⭐️: 304
Forked By: 24
https://github.com/jbellis/jvector

#jvector
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OpenAI python

The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language. It includes a pre-defined set of classes for API resources that initialize themselves dynamically from API responses which makes it compatible with a wide range of versions of the OpenAI API.

Creator: OpenAI
Stars ⭐️: 11.9k
Forked By: 1.8k
https://github.com/openai/openai-python

#AI #python
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streaming-llm

Deploying Large Language Models (LLMs) in streaming applications such as multi-round dialogue, where long interactions are expected, is urgently needed but poses two major challenges. Firstly, during the decoding stage, caching previous tokens' Key and Value states (KV) consumes extensive memory. Secondly, popular LLMs cannot generalize to longer texts than the training sequence length. Window attention, where only the most recent KVs are cached, is a natural approach --- but we show that it fails when the text length surpasses the cache size. We observe an interesting phenomenon, namely attention sink, that keeping the KV of initial tokens will largely recover the performance of window attention. In this paper, we first demonstrate that the emergence of attention sink is due to the strong attention scores towards initial tokens as a ``sink'' even if they are not semantically important.

Creator: MIT HAN Lab
Stars ⭐️: 3.5k
Forked By: 189
https://github.com/mit-han-lab/streaming-llm

#LLM #models
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gpt-pilot

You specify what kind of app you want to build. Then, GPT Pilot asks clarifying questions, creates the product and technical requirements, sets up the environment, and starts coding the app step by step, like in real life while you oversee the development process. It asks you to review each task it finishes or to help when it gets stuck. This way, GPT Pilot acts as a coder while you are a lead dev who reviews code and helps when needed.

Creator: Pythagora-io
Stars ⭐️: 4.8k
Forked By: 385
https://github.com/Pythagora-io/gpt-pilot

#GPT_Pilot #GPT
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appwrite

Appwrite is an end-to-end backend server for Web, Mobile, Native, or Backend apps packaged as a set of Docker microservices. Appwrite abstracts the complexity and repetitiveness required to build a modern backend API from scratch and allows you to build secure apps faster.

Using Appwrite, you can easily integrate your app with user authentication and multiple sign-in methods, a database for storing and querying users and team data, storage and file management, image manipulation, Cloud Functions, and more services.

Creator: Appwrite
Stars ⭐️: 36.3k
Forked By: 3.3k
https://github.com/appwrite/appwrite

#Appwrite
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vuetify

Vuetify is a MIT licensed project that is developed and maintained full-time by John Leider and Heather Leider; with support from the entire Core Team. Sponsor Vuetify and receive some awesome perks and support Open Source Software at the same time! 🎉

Creator: vuetify
Stars ⭐️: 38k
Forked By: 6.9k
https://github.com/vuetifyjs/vuetify

#Vuetify
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bruno

Bruno is a new and innovative API client, aimed at revolutionizing the status quo represented by Postman and similar tools out there.
Bruno stores your collections directly in a folder on your filesystem. We use a plain text markup language, Bru, to save information about API requests.
You can use git or any version control of your choice to collaborate over your API collections.
Bruno is offline-only. There are no plans to add cloud-sync to Bruno, ever. We value your data privacy and believe it should stay on your device.

Creator: usebruno
Stars ⭐️: 3.7k
Forked By: 119
https://github.com/usebruno/bruno

#Bruno
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leptonai

The LeptonAI python library allows you to build an AI service from python code with ease. Key features include:

A pythonic abstraction Photon, allowing you to convert research and modeling code into a service with a few lines of code.
Simple abstractions to launch models like those on HuggingFace in few lines of code.
Prebuilt examples for common models such as Llama, SDXL, Whisper, and others.
AI tailored batteries included such as autobatching, background jobs, etc.
A client to automatically call your service like native Python functions.
Pythonic configuration specs to be readily shipped in a cloud environment.

Creator: Lepton AI
Stars ⭐️: 168
Forked By: 11
https://github.com/leptonai/leptonai

#LeptonAI #AI
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The V Programming Language

Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation.

Creator: vlang
Stars ⭐️: 34.7k
Forked By: 2.1k
https://github.com/vlang/v

#V #Programming #language
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json

There are myriads of JSON libraries out there, and each may even have its reason to exist. Our class had these design goals:

Intuitive syntax. In languages such as Python, JSON feels like a first class data type. We used all the operator magic of modern C++ to achieve the same feeling in your code. Check out the examples below and you'll know what I mean.

Trivial integration. Our whole code consists of a single header file json.hpp. That's it. No library, no subproject, no dependencies, no complex build system. The class is written in vanilla C++11. All in all, everything should require no adjustment of your compiler flags or project settings.

Serious testing. Our code is heavily unit-tested and covers 100% of the code, including all exceptional behavior. Furthermore, we checked with Valgrind and the Clang Sanitizers that there are no memory leaks. Google OSS-Fuzz additionally runs fuzz tests against all parsers 24/7, effectively executing billions of tests so far.

Creator: Niels Lohmann
Stars ⭐️: 36.8k
Forked By: 6.3k
https://github.com/nlohmann/json

#JSON #C_plusplus
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questdb

QuestDB is an open-source time-series database for high throughput ingestion and fast SQL queries with operational simplicity. It supports schema-agnostic ingestion using the InfluxDB line protocol, PostgreSQL wire protocol, and a REST API for bulk imports and exports.

QuestDB is well suited for financial market data, application metrics, sensor data, real-time analytics, dashboards, and infrastructure monitoring.

QuestDB implements ANSI SQL with native time-series SQL extensions. These SQL extensions make it simple to correlate data from multiple sources using relational and time-series joins. We achieve high performance by adopting a column-oriented storage model, parallelized vector execution, SIMD instructions, and low-latency techniques. The entire codebase is built from the ground up in Java and C++, with no dependencies and zero garbage collection.

Creator: QuestDB
Stars ⭐️: 12.8k
Forked By: 993
https://github.com/questdb/questdb

#QuestDB #PostgreSQL #SQL
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Clean Architecture

The goal of this template is to provide a straightforward and efficient approach to enterprise application development, leveraging the power of Clean Architecture and ASP.NET Core. Using this template, you can effortlessly create a Single Page App (SPA) with ASP.NET Core and Angular or React, while adhering to the principles of Clean Architecture.

Creator: Jason Taylor
Stars ⭐️: 13.6k
Forked By: 3k
https://github.com/jasontaylordev/CleanArchitecture

#Clean_Architecture #ASP_NET #Architecture
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home page

A modern, fully static, fast, secure fully proxied, highly customizable application dashboard with integrations for over 100 services and translations into multiple languages. Easily configured via YAML files or through docker label discovery.


Creator: Homepage
Stars ⭐️: 8.7k
Forked By: 498
https://github.com/gethomepage/homepage

#homepage
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enhancements

Enhancement tracking repo for Kubernetes releases. Owned by SIG Architecture.
This repo contains issues and KEPs. These issues are umbrellas for new enhancements to be added to Kubernetes. An enhancement usually takes multiple releases to complete. And an enhancement can be tracked as backlog items before work begins. An enhancement may be filed once there is consensus in at least one Kubernetes SIG.


Creator: Kubernetes
Stars ⭐️: 3.1k
Forked By: 1.5k
https://github.com/kubernetes/enhancements

#Enhancement
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PHP-CS-Fixer

The PHP Coding Standards Fixer (PHP CS Fixer) tool fixes your code to follow standards; whether you want to follow PHP coding standards as defined in the PSR-1, PSR-2, etc., or other community driven ones like the Symfony one. You can also define your (team's) style through configuration.

It can modernize your code (like converting the pow function to the ** operator on PHP 5.6) and (micro) optimize it.

If you are already using a linter to identify coding standards problems in your code, you know that fixing them by hand is tedious, especially on large projects. This tool does not only detect them, but also fixes them for you.


Creator: PHP CS Fixer
Stars ⭐️: 12.1k
Forked By: 1.6k
https://github.com/PHP-CS-Fixer/PHP-CS-Fixer

#PHP #PHP_CS_Fixer
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