vae

sylvester-flows

Python-WORLD

Variational-Lstm-Autoencoder

Lstm variational auto-encoder for time series anomaly detection and features extraction

OmniTokenizer

[NeurIPS 2024]OmniTokenizer: one model and one weight for image-video joint tokenization.

video_prediction

Stochastic Adversarial Video Prediction

pytorch-vae

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

CADA-VAE-PyTorch

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

elliot

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

learning-to-drive-in-5-minutes

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

FactorVAE

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

tf-vqvae

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Carla-ppo

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

pytorch_cpp

Deep Learning sample programs using PyTorch in C++

awesome-AI4MolConformation-MD

List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning

Adversarial_Video_Summary

Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)

s-vae-tf

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

ResNetVAE

Variational AutoEncoder + ResNet Transfer Learning

Variational-Recurrent-Autoencoder-Tensorflow

A tensorflow implementation of "Generating Sentences from a Continuous Space"

disentangled_vae

Replicating "Understanding disentangling in β-VAE"

soft-intro-vae-pytorch

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

Efficient-VDVAE

Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

beat-blender

Blend beats using machine learning to create music in a fun new way.

sqvae

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

Parallel-Tacotron2

PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

vae-lagging-encoder

PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)

tsgm

Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets) NeurIPS'24

vae-seq

Variational Auto-Encoders in a Sequential Setting.

A-Hierarchical-Latent-Structure-for-Variational-Conversation-Modeling

PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)

vmf_vae_nlp

Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"

ECE-C247-EEG-GAN

GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks and Deep Learning course.

srl-zoo

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

vqvae-2

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

eqvae

[ICML'25] EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.

tensorflow-mnist-CVAE

Tensorflow implementation of conditional variational auto-encoder for MNIST

Deep-learning-with-Python

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.