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StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation
paper: https://arxiv.org/pdf/2312.12491v1.pdf
source code: https://github.com/cumulo-autumn/streamdiffusion?tab=readme-ov-file
https://news.1rj.ru/str/DataScienceT
paper: https://arxiv.org/pdf/2312.12491v1.pdf
source code: https://github.com/cumulo-autumn/streamdiffusion?tab=readme-ov-file
https://news.1rj.ru/str/DataScienceT
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🦜 DreamTalk: When Expressive Talking Head Generation Meets Diffusion Probabilistic Models
🖥 Code: https://github.com/ali-vilab/dreamtalk
📚 Paper: https://arxiv.org/abs/2312.09767
⚡️ Page: https://dreamtalk-project.github.io
🌟 Colab: https://github.com/camenduru/dreamtalk-colab
https://news.1rj.ru/str/DataScienceT
🖥 Code: https://github.com/ali-vilab/dreamtalk
📚 Paper: https://arxiv.org/abs/2312.09767
⚡️ Page: https://dreamtalk-project.github.io
🌟 Colab: https://github.com/camenduru/dreamtalk-colab
https://news.1rj.ru/str/DataScienceT
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TEXTRON: Weakly Supervised Multilingual Text Detection through Data Programming
🖥 Github: https://github.com/IITB-LEAP-OCR/TEXTRON
📕 Paper: https://openaccess.thecvf.com/content/WACV2024/papers/Kudale_Textron_Weakly_Supervised_Multilingual_Text_Detection_Through_Data_Programming_WACV_2024_paper.pdf
🔥Datasets: https://paperswithcode.com/dataset/docbank
✨ Tasks: https://paperswithcode.com/task/optical-character-recognition
https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/IITB-LEAP-OCR/TEXTRON
📕 Paper: https://openaccess.thecvf.com/content/WACV2024/papers/Kudale_Textron_Weakly_Supervised_Multilingual_Text_Detection_Through_Data_Programming_WACV_2024_paper.pdf
🔥Datasets: https://paperswithcode.com/dataset/docbank
✨ Tasks: https://paperswithcode.com/task/optical-character-recognition
https://news.1rj.ru/str/DataScienceT
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GridFormer: Point-Grid Transformer for Surface Reconstruction
Paper:
https://arxiv.org/pdf/2401.02292.pdf
GitHub:
https://github.com/list17/GridFormer
https://news.1rj.ru/str/DataScienceT
Paper:
https://arxiv.org/pdf/2401.02292.pdf
GitHub:
https://github.com/list17/GridFormer
https://news.1rj.ru/str/DataScienceT
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🦾 Free Course: The Hands-on Reinforcement Learning course 🚀
Reinforcement learning is a type of machine learning in which the system under test learns by interacting with some environment.
This is a step-by-step, practical course that will help you learn RL from the very basics.
💻 Course: https://www.realworldml.xyz/the-hands-on-reinforcement-learning-course
🖥 Github: https://github.com/Paulescu/hands-on-rl
https://news.1rj.ru/str/DataScienceT
Reinforcement learning is a type of machine learning in which the system under test learns by interacting with some environment.
This is a step-by-step, practical course that will help you learn RL from the very basics.
💻 Course: https://www.realworldml.xyz/the-hands-on-reinforcement-learning-course
🖥 Github: https://github.com/Paulescu/hands-on-rl
https://news.1rj.ru/str/DataScienceT
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TinyLlama-1.1B
🖥 Github: https://github.com/jzhang38/tinyllama
📕 Paper: https://arxiv.org/pdf/2401.02385v1.pdf
🔥Datasets: https://paperswithcode.com/dataset/mmlu
https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/jzhang38/tinyllama
📕 Paper: https://arxiv.org/pdf/2401.02385v1.pdf
🔥Datasets: https://paperswithcode.com/dataset/mmlu
https://news.1rj.ru/str/DataScienceT
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Forwarded from ML - DS/DA/DE - AI [Jobs, InterviewPrep]
🔰 Artificial Intelligence A-Z™ 2023: Build an AI with ChatGPT4
🌟 4.3 - 27972 votes 💰 Original Price: $74.99
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⭐️ Link Download: https://news.1rj.ru/str/c/1943137813/408
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🌟 4.3 - 27972 votes 💰 Original Price: $74.99
Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!
Taught By: Hadelin de Ponteves, Kirill Eremenko
🌐 First Join Channel : https://news.1rj.ru/str/+xIYRmZxpAog5YTdk
⭐️ Link Download: https://news.1rj.ru/str/c/1943137813/408
⭐️ Python Courses:
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🖥 Transformers From Scratch
PYTHON
In this notebook we have built a transformer model based on the Attention Is All You Need paper following along with Andrej Karpathy’s fantastic YouTube video: Let’s build GPT.
📌 Notebook: https://blog.matdmiller.com/posts/2023-06-10_transformers/notebook.html
https://news.1rj.ru/str/DataScienceT
PYTHON
In this notebook we have built a transformer model based on the Attention Is All You Need paper following along with Andrej Karpathy’s fantastic YouTube video: Let’s build GPT.
📌 Notebook: https://blog.matdmiller.com/posts/2023-06-10_transformers/notebook.html
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👍9
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🧠 BakedAvatar: Baking Neural Fields for Real-Time Head Avatar Synthesis
🖥 Code: https://github.com/buaavrcg/BakedAvatar
📚 Paper: https://dl.acm.org/doi/10.1145/3618399
⚡️ Page: https://buaavrcg.github.io/BakedAvatar/
https://news.1rj.ru/str/DataScienceT
git clone https://github.com/buaavrcg/BakedAvatar
cd BakedAvatar
🖥 Code: https://github.com/buaavrcg/BakedAvatar
📚 Paper: https://dl.acm.org/doi/10.1145/3618399
⚡️ Page: https://buaavrcg.github.io/BakedAvatar/
https://news.1rj.ru/str/DataScienceT
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Forwarded from Data Science Library
These are the best questions and answers to job interviews in all areas currently available for job interviews and study, now available in our channel paid at $10 for the entire content of the channel (a permanent subnoscription of only $10)
Pay then request join
https://news.1rj.ru/str/+LnCmAFJO3tNmYjUy
Contact @Hussein_Sheikho
Pay then request join
https://news.1rj.ru/str/+LnCmAFJO3tNmYjUy
Contact @Hussein_Sheikho
👍4👎1
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🔥Physics-based Text-to-Motion🔥
🖥 Code: github.com/jiawei-ren/insactor
📚 Paper: arxiv.org/abs/2312.17135
⚡️ Project: https://jiawei-ren.github.io/projects/insactor/
🖥 Code: github.com/jiawei-ren/insactor
📚 Paper: arxiv.org/abs/2312.17135
⚡️ Project: https://jiawei-ren.github.io/projects/insactor/
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Sign Language Understanding
🖥 Github: https://github.com/FangyunWei/SLRT
📕 Paper: https://arxiv.org/pdf/2401.05336v1.pdf
🔥Datasets: https://paperswithcode.com/dataset/csl-daily
https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/FangyunWei/SLRT
📕 Paper: https://arxiv.org/pdf/2401.05336v1.pdf
🔥Datasets: https://paperswithcode.com/dataset/csl-daily
https://news.1rj.ru/str/DataScienceT
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⚡️ SigLIP: a better CLIP model
🖥 Github: https://github.com/NielsRogge/Transformers-Tutorials/blob/master/SigLIP/Inference_with_(multilingual)_SigLIP%2C_a_better_CLIP_model.ipynb
📚 Paper: https://arxiv.org/abs/2303.15343
⚡️HF: https://huggingface.co/docs/transformers/main/en/model_doc/siglip
https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/NielsRogge/Transformers-Tutorials/blob/master/SigLIP/Inference_with_(multilingual)_SigLIP%2C_a_better_CLIP_model.ipynb
📚 Paper: https://arxiv.org/abs/2303.15343
⚡️HF: https://huggingface.co/docs/transformers/main/en/model_doc/siglip
https://news.1rj.ru/str/DataScienceT
💊 AMIE: A research AI system for diagnostic medical reasoning and conversations
💡 Blog: https://blog.research.google/2024/01/amie-research-ai-system-for-diagnostic_12.html
📚 Paper: https://arxiv.org/abs/2401.05654
https://news.1rj.ru/str/DataScienceT
💡 Blog: https://blog.research.google/2024/01/amie-research-ai-system-for-diagnostic_12.html
📚 Paper: https://arxiv.org/abs/2401.05654
https://news.1rj.ru/str/DataScienceT
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