154 Open source projects that are alternatives of or similar to Pytorch Vae

Tensorflow implementation : U-net and FCN with global convolution

A community run, 5-day PyTorch Deep Learning Bootcamp

Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

A simple Tensorflow based library for deep and/or denoising AutoEncoder.

This repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf (ICCV19)

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Use unsupervised and supervised learning to predict stocks

Deep learning meets molecular dynamics.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Implementation of the stacked denoising autoencoder in Tensorflow

Structural Deep Clustering Network

Image reconstruction done with untrained neural networks.

Awesome-pytorch-list 翻译工作进行中......

Tensorflow implementation of conditional variational auto-encoder for MNIST

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Reference code for the paper: Deep White-Balance Editing, CVPR 2020 (Oral). Our method is a deep learning multi-task framework for white-balance editing.

PyTorch Blog Post On Image Similarity Search

Training and evaluating a variational autoencoder for pan-cancer gene expression data

Molecular AutoEncoder in PyTorch

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Deep Learning sample programs using PyTorch in C++

Large scale training of factorization models for Collaborative Filtering with PyTorch

Generative Adversarial Networks and Autoencoders for 3D Shapes

Autoencoders in Keras

中文的 tensorflow tutorial with jupyter notebooks

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

🇰🇷PyTorch에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Variational Recurrent Autoencoder for timeseries clustering in pytorch

Using Deep Autoencoders for predictions of movie ratings.

Focal Frequency Loss for Generative Models

A Pytorch implementation for the ZeroSpeech 2019 challenge.

Library of autoencoders for sequential data

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Tensorflow implementation of Adversarial Autoencoders

Keras implementation of Structural Deep Network Embedding, KDD 2016

PyTorch implementation of DEC (Deep Embedding Clustering)

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)

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

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Frame level anomaly detection and localization in videos using auto-encoders

Visualization techniques for the latent space of a convolutional autoencoder in Keras

Convolutional Autoencoder for Loop Closure

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Learning deep representations by mutual information estimation and maximization

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Anomaly detection for streaming data using autoencoders