A collective list of free APIs

A feature-rich command-line audio/video downloader

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Robust Speech Recognition via Large-Scale Weak Supervision

Animation engine for explanatory math videos

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

Let us control diffusion models!

Code and documentation to train Stanford's Alpaca models, and generate the data.

You like pytorch? You like micrograd? You love tinygrad! ❤️

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Keep your application settings in sync (OS X/Linux)

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Fast and memory-efficient exact attention

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

Machine Learning Engineering Open Book

Ongoing research training transformer models at scale

An educational resource to help anyone learn deep reinforcement learning.

Running large language models on a single GPU for throughput-oriented scenarios.

Hackable and optimized Transformers building blocks, supporting a composable construction.

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

Matplotlib styles for scientific plotting

Accessible large language models via k-bit quantization for PyTorch.

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.