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Minimal training code of a nano text-to-image model
Latent Bridge Matching for Fast Image-to-Image Translation (ICCV 2025 Highlight)
Flash Diffusion — accelerating conditional diffusion models (AAAI 2025 Oral)
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Generative Models by Stability AI
Unifying Multimodal Variational Autoencoders (VAEs) in Pytorch
🐢 Open-Source Evaluation & Testing library for LLM Agents
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
Riemannian Adaptive Optimization Methods with pytorch optim
Extended pickling support for Python objects
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
Normalizing flows in PyTorch. Current intended use is education not production.
Pytorch Implementation of OpenAI's PixelCNN++
Flax is a neural network library for JAX that is designed for flexibility.
JAX - A curated list of resources https://github.com/google/jax
Experiments for understanding disentanglement in VAE latent representations
This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
Taming Transformers for High-Resolution Image Synthesis
Python implementation of a stabilized ICA algorithm
Software platform for clinical neuroimaging studies
A Collection of Variational Autoencoders (VAE) in PyTorch.
Official code for "Distributed Deep Learning in Open Collaborations" (NeurIPS 2021)
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.