Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Generative Models by Stability AI
Data validation using Python type hints
pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.
A Collection of Variational Autoencoders (VAE) in PyTorch.
🐢 Open-Source Evaluation & Testing for AI & LLM systems
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Extended pickling support for Python objects
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
Riemannian Adaptive Optimization Methods with pytorch optim
Experiments for understanding disentanglement in VAE latent representations
LBM: Latent Bridge Matching for Fast Image-to-Image Translation ✨ (ICCV 2025)
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
⚡ Flash Diffusion ⚡: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation (AAAI 2025 Oral)
Pytorch Implementation of OpenAI's PixelCNN++
DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
Software platform for clinical neuroimaging studies
This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures
Framework for the reproducible processing of neuroimaging data with deep learning methods
Unifying Multimodal Variational Autoencoders (VAEs) in Pytorch
Python implementation of a stabilized ICA algorithm