Stars
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
FreeU: Free Lunch in Diffusion U-Net (CVPR2024 Oral)
AI-powered key driver analysis tool that pinpoints root cause behind metrics fluctuation in one minute.
Official PyTorch implementation of StyleGAN3
A Library for Gaussian Processes in Chemistry
A latent text-to-image diffusion model
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Master programming by recreating your favorite technologies from scratch.
NVIDIA's Deep Imagination Team's PyTorch Library
Google's Engineering Practices documentation
🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Production infrastructure for machine learning at scale
The easiest way to serve AI apps and models - Build reliable Inference APIs, LLM apps, Multi-model chains, RAG service, and much more!
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
This is an almost exact replica in PyTorch of the Tensorflow version of Self-Attention GAN released by Google Brain in August 2018.
Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)
A library for ML benchmarking. It's powerful.
StyleGAN2 - Official TensorFlow Implementation
A python package to analyze and compare voices with deep learning
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods