clementchadebec / benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
☆1,900Updated 8 months ago
Alternatives and similar repositories for benchmark_VAE:
Users that are interested in benchmark_VAE are comparing it to the libraries listed below
- Awesome resources on normalizing flows.☆1,509Updated last week
- A Collection of Variational Autoencoders (VAE) in PyTorch.☆7,060Updated 3 weeks ago
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,047Updated 2 years ago
- "Deep Generative Modeling": Introductory Examples☆1,166Updated 6 months ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,498Updated this week
- solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning☆1,473Updated last week
- A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)☆733Updated 2 years ago
- Pytorch Lightning code guideline for conferences☆1,258Updated last year
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆811Updated 3 years ago
- Experiments for understanding disentanglement in VAE latent representations☆814Updated 2 years ago
- PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,885Updated 9 months ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,719Updated last week
- Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch☆1,720Updated 2 years ago
- PyTorch implementation of normalizing flow models☆820Updated 7 months ago
- Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023☆2,797Updated last month
- Course notes☆681Updated 11 months ago
- 🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch☆2,120Updated 4 months ago
- Tensors, for human consumption☆1,214Updated 4 months ago
- A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.☆728Updated 11 months ago
- A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch☆676Updated 2 years ago
- High-fidelity performance metrics for generative models in PyTorch☆1,064Updated last year
- Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,619Updated 2 years ago
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,806Updated 9 months ago
- Normalizing flows in PyTorch☆904Updated 3 months ago
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,242Updated this week
- A simple tutorial of Variational AutoEncoders with Pytorch☆381Updated last year
- Framework for Easily Invertible Architectures☆802Updated 9 months ago
- TorchCFM: a Conditional Flow Matching library☆1,625Updated last month
- torch-optimizer -- collection of optimizers for Pytorch☆3,101Updated last year
- PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡☆4,598Updated 8 months ago