Vae Cvae MnistVariational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Cada Vae PytorchOfficial implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
S Vae TfTensorflow implementation of Hyperspherical Variational Auto-Encoders
Pytorch VaeA CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
Vae CelebaVariational auto-encoder trained on celebA . All rights reserved.
VdeVariational Autoencoder for Dimensionality Reduction of Time-Series
Synthesize3dviadepthorsil[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes
BnafPytorch implementation of Block Neural Autoregressive Flow
Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Neuraldialog LarlPyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
TybaltTraining and evaluating a variational autoencoder for pan-cancer gene expression data
Rectorchrectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Vae TensorflowA Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
KvaeKalman Variational Auto-Encoder
MojitalkCode for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090
SmrtHandle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
Brain Inspired ReplayA brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
Vae For Image GenerationImplemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets
CodeslamImplementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
Repo 2017Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Li emnlp 2017Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet
Deep Generative ModelsDeep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)
Variational AutoencoderVariational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Continual LearningPyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
Scvi ToolsDeep probabilistic analysis of single-cell omics data
Awesome VaesA curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Disentangling VaeExperiments for understanding disentanglement in VAE latent representations
Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Vae cfVariational autoencoders for collaborative filtering
Neuraldialog CvaeTensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Generative models tutorial with demoGenerative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
Dalle MtfOpen-AI's DALL-E for large scale training in mesh-tensorflow.
TextboxTextBox is an open-source library for building text generation system.
S Vae PytorchPytorch implementation of Hyperspherical Variational Auto-Encoders
class-incremental-learningPyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).
intro dgmAn Introduction to Deep Generative Modeling: Examples
calc2.0CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure
srVAEVAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
tt-vae-ganTimbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.
CHyVAECode for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)
AutoEncodersVariational autoencoder, denoising autoencoder and other variations of autoencoders implementation in keras
CIKM18-LCVACode for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.