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A latent text-to-image diffusion model
🔊 Text-Prompted Generative Audio Model
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
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
This repository contains implementations and illustrative code to accompany DeepMind publications
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…
High-Resolution Image Synthesis with Latent Diffusion Models
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Taming Transformers for High-Resolution Image Synthesis
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Fast and flexible AutoML with learning guarantees.
Solve puzzles. Improve your pytorch.
Structured state space sequence models
Easily compute clip embeddings and build a clip retrieval system with them
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
"Deep Generative Modeling": Introductory Examples
A pedagogical implementation of Autograd
What would you do with 1000 H100s...
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch