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Starred repositories
🔥Highlighting the top ML papers every week.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Awesome-LLM: a curated list of Large Language Model
Audio super resolution using neural networks
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Experimental ground for optimizing memory of pytorch models
Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory
denoising diffusion models, as simple as possible
Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.
Audio generation using diffusion models, in PyTorch.
A curated compilation of AI-driven generative music resources and projects. Explore the blend of machine learning algorithms and musical creativity.
A curated list of awesome Diffusion notebooks, tools, software, tutorials and resources.
Hands-On Graph Neural Networks Using Python, published by Packt
Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.
📋 A list of open LLMs available for commercial use.
Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps
Accelerate Model Training with PyTorch 2.X, published by Packt
Mastering PyTorch, published by Packt
Deep Learning with PyTorch, published by Packt
Modern Computer Vision with PyTorch, published by Packt
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
A curated list of deep learning image classification papers and codes
A curated list of awesome computer vision resources
Address book for computer vision models.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.