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A latent text-to-image diffusion model
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
The fastai book, published as Jupyter Notebooks
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Instruct-tune LLaMA on consumer hardware
💿 Free software that works great, and also happens to be open-source Python.
StableLM: Stability AI Language Models
Companion webpage to the book "Mathematics For Machine Learning"
A multi-voice TTS system trained with an emphasis on quality
This repository contains implementations and illustrative code to accompany DeepMind publications
High-Resolution Image Synthesis with Latent Diffusion Models
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
This repository contains demos I made with the Transformers library by HuggingFace.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
An annotated implementation of the Transformer paper.
Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
The 3rd edition of course.fast.ai
Language-Agnostic SEntence Representations
Structured state space sequence models
The hub for EleutherAI's work on interpretability and learning dynamics
InferSent sentence embeddings
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
🤖⚡ 50 scikit-learn tips
functorch is JAX-like composable function transforms for PyTorch.