Machine learning, in numpy

machine-learning reinforcement-learning word2vec lstm neural-networks gaussian-mixture-models vae topic-modeling attention resnet bayesian-inference wavenet mfcc knn gaussian-processes hidden-markov-models gradient-boosting wgan-gp good-turing-smoothing

• Updated Oct 29, 2023
• Python

A Collection of Variational Autoencoders (VAE) in PyTorch.

deep-learning reproducible-research architecture pytorch vae beta-vae paper-implementations gumbel-softmax celeba-dataset wae variational-autoencoders pytorch-implementation dfc-vae iwae vqvae vae-implementation pytorch-vae

• Updated Mar 21, 2025
• Python

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

machine-learning tensorflow pytorch gan generative-model vae restricted-boltzmann-machine rbm

• Updated Mar 24, 2024
• Python

Collection of generative models in Tensorflow

tensorflow gan mnist infogan generative-model vae ebgan generative-adversarial-networks wgan cvae lsgan variational-autoencoder began cgan wgan-gp generative-models dragan acgan fashion-mnist improved-wgan

• Updated Aug 8, 2022
• Python

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

machine-learning deep-learning medical-imaging vae generation segmentation reconstruction sde diffusion denoising generative-models diffusion-models score-matching ddpm score-based ncsn

• Updated Nov 17, 2025

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

benchmarking reproducible-research pytorch comparison vae pixel-cnn reproducibility beta-vae vae-gan normalizing-flows variational-autoencoder vq-vae wasserstein-autoencoder vae-implementation vae-pytorch

• Updated Jul 31, 2024
• Python

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

learning machine-learning deep-neural-networks deep-learning tensorflow deep pytorch vae unsupervised-learning variational-inference probabilistic-graphical-models variational-autoencoder autoregressive-neural-networks

• Updated Apr 24, 2024
• Python

VPoser: Variational Human Pose Prior

motion human vae pose-estimation pose prior

• Updated Oct 30, 2026
• Python

Vector Quantized VAEs - PyTorch Implementation

deep-learning pytorch vae generative-models vq-vae

• Updated Jul 12, 2023
• Python

List of Molecular and Material design using Generative AI and Deep Learning

reinforcement-learning material-design transformer lstm gan rnn vae drug-design diffusion molecular-design energy-based-model gnns deep-generative-models score-based-generative-models prompt-learning generative-ai

• Updated Nov 12, 2026

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

retrieval recommender recommendation-system vae recommender-system recommendation generative variational-autoencoder variational-autoencoders gumbel retrieval-systems recommendersystems generative-ai generative-retrieval semantic-ids semantic-id

• Updated Aug 31, 2026
• Python

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

deep-learning generative-model vae awesome-list representation-learning unsupervised-learning variational-inference variational-autoencoder variational-bayes disentanglement variational-auto-encoder disentangled-representations

• Updated Jul 11, 2021

Experiments for understanding disentanglement in VAE latent representations

deep-learning reproducible-research pytorch mnist chairs-dataset vae representation-learning unsupervised-learning beta-vae celeba variational-autoencoder disentanglement dsprites fashion-mnist disentangled-representations factor-vae beta-tcvae

• Updated Feb 2, 2023
• Python

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

jupyter-notebook pytorch vae neural-ode

• Updated Feb 27, 2024
• Jupyter Notebook

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

deep-learning pytorch mnist vae latent-variable-models cvae variational-autoencoder

• Updated Jul 17, 2026
• Python

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

deep-learning pytorch vae vq-vae

• Updated Nov 13, 2019
• Jupyter Notebook

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

nlp deep-learning neural-network pytorch generative-model vae ptb

• Updated Jun 10, 2026
• Python

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

tensorflow draw recurrent-neural-networks gan vae

• Updated Apr 18, 2017
• Python

Pytorch implementation of β-VAE

chairs-dataset vae unsupervised-learning beta-vae celeba dsprites disentangled-representations

• Updated Dec 29, 2020
• Python

Minimalist implementation of VQ-VAE in Pytorch

deep-neural-networks deep-learning pytorch mnist vae vq-vae

• Updated Jun 3, 2021
• Python