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Search results for python autoencoder

792 search results found

Pytorch Gan ⭐ 14,159

PyTorch implementations of Generative Adversarial Networks.

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

Pytorch Tutorial ⭐ 7,372

Build your neural network easy and fast, 莫烦Python中文教学

Tensorflow Tutorial ⭐ 3,873

Tensorflow tutorial from basic to hard

[CVPR2020] Adversarial Latent Autoencoders

DDSP: Differentiable Digital Signal Processing

Tensorflow Tutorials ⭐ 2,108

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Dimensionality_reduction_alo_codes ⭐ 1,949

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

Aialpha ⭐ 1,547

Use unsupervised and supervised learning to predict stocks

Advanced Deep Learning With Keras ⭐ 1,534

Advanced Deep Learning with Keras, published by Packt

Ipynb_playground ⭐ 1,530

Various ipython notebooks

Niftynet ⭐ 1,170

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

Repo 2017 ⭐ 1,146

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

Tensorflow 101 ⭐ 963

TensorFlow 101: Introduction to Deep Learning

Next RecSys Library

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

Ad_examples ⭐ 738

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Deepsvg ⭐ 705

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

Ufldl_tutorial ⭐ 680

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

Tensorflow Vae Gan Draw ⭐ 569

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).

Atlasnet ⭐ 561

This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

Torchlayers ⭐ 547

Shape and dimension inference (Keras-like) for PyTorch layers and neural networks

Face Aging Caae ⭐ 497

Age Progression/Regression by Conditional Adversarial Autoencoder

Vae Cvae Mnist ⭐ 473

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Conditional Pixelcnn Decoder ⭐ 470

Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network

Dancenet ⭐ 453

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

Keras Molecules ⭐ 448

Autoencoder network for learning a continuous representation of molecular structures.

Deep_white_balance ⭐ 418

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

Generative Models ⭐ 414

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Focal Frequency Loss ⭐ 407

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Pytorch Made ⭐ 397

MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

Time Series Autoencoder ⭐ 386

📈 PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series 📈

Chemical_vae ⭐ 383

Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

Tensorflow Mnist Vae ⭐ 379

Tensorflow implementation of variational auto-encoder for MNIST

Timeseries Clustering Vae ⭐ 366

Variational Recurrent Autoencoder for timeseries clustering in pytorch

Adversarial_autoencoder ⭐ 356

A wizard's guide to Adversarial Autoencoders

Autoencoding_beyond_pixels ⭐ 350

Generative image model with learned similarity measures

Cppn Gan Vae Tensorflow ⭐ 316

Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.

Memae Anomaly Detection ⭐ 312

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

Icml18 Jtnn ⭐ 305

Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

Augmentedautoencoder ⭐ 297

Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images

Sequitur ⭐ 293

Library of autoencoders for sequential data

Handson Ml ⭐ 277

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Deepadots ⭐ 270

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Artificio ⭐ 269

Deep Learning Computer Vision Algorithms for Real-World Use

Theano Lights ⭐ 269

Deep learning research framework based on Theano

Deep Sad Pytorch ⭐ 268

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

Accel Brain Code ⭐ 262

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language proces

Minimalist implementation of VQ-VAE in Pytorch

Pointnet Autoencoder ⭐ 230

Autoencoder for Point Clouds

Adversarial Autoencoder ⭐ 225

Chainer implementation of adversarial autoencoder (AAE)

Autoencoder ⭐ 207

Text autoencoder with LSTMs

Deep count autoencoder for denoising scRNA-seq data

Parmesan ⭐ 199

Variational and semi-supervised neural network toppings for Lasagne

Deep Learning For Hackers ⭐ 196

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Grammarvae ⭐ 189

Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925

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

Practical Machine Learning With Python ⭐ 182

Machine Learning Tutorials in Python

Lstm Autoencoder ⭐ 172

TensorFlow LSTM-autoencoder implementation

Convolutional_autoencoder ⭐ 169

Code for a convolutional autoencoder written on python, theano, lasagne, nolearn

Graph Representation Learning ⭐ 168

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

Keras Convautoencoder ⭐ 167

Keras autoencoders (convolutional/fcc) [proof of concept]

Mvtec Anomaly Detection ⭐ 162

This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.

Variational Autoencoder for Dimensionality Reduction of Time-Series

Singleviewreconstruction ⭐ 159

Official Code: 3D Scene Reconstruction from a Single Viewport

Image_similarity ⭐ 156

PyTorch Blog Post On Image Similarity Search

Swapping Autoencoder Pytorch ⭐ 153

Unofficial implementation of Swapping Autoencoder for Deep Image Manipulation (https://arxiv.org/abs/2007.00653) in PyTorch

Vae_anomaly_detection ⭐ 148

Tensorflowdeepautoencoder ⭐ 148

MNIST Digit Classification Using Stacked Autoencoder And TensorFlow

Codeslam ⭐ 146

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

Deep_image_prior ⭐ 146

Image reconstruction done with untrained neural networks.

Numalogic ⭐ 144

Collection of operational time series ML models and tools

Featdepth ⭐ 143

This is the offical codes for the methods described in the "Feature-metric Loss for Self-supervised Learning of Depth and Egomotion".

Abnormal_event_detection ⭐ 142

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Learned Sim Autoencoder For Video Frames ⭐ 140

An implementation of an autoencoder with a learned similarity metric for reconstructing video frames

Tensorflow Mnist Cvae ⭐ 134

Tensorflow implementation of conditional variational auto-encoder for MNIST

Lstm Autoencoders ⭐ 134

Anomaly detection for streaming data using autoencoders

Text Autoencoders ⭐ 131

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

Net2net ⭐ 128

Network-to-Network Translation with Conditional Invertible Neural Networks

Oneshottranslation ⭐ 126

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

Kitnet Py ⭐ 124

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

Tensorflow_stacked_denoising_autoencoder ⭐ 123

Implementation of the stacked denoising autoencoder in Tensorflow

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

Deepinfomaxpytorch ⭐ 123

Learning deep representations by mutual information estimation and maximization

Unsupervised_anomaly_detection_brain_mri ⭐ 123

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

Rnn_recsys ⭐ 122

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

Molecule Autoencoder ⭐ 119

A project to enable optimization of molecules by transforming them to and from a continuous representation.

Denoisingautoencoder ⭐ 117

Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation

Unsupervisedpointcloudreconstruction ⭐ 115

Experiments on unsupervised point cloud reconstruction.

Variational Autoencoder Pytorch ⭐ 114

Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset

Unsupervised Real Image Super-Resolution via Variational AutoEncoder in CVPR2020

Stacked Autoencoder Pytorch ⭐ 114

Stacked denoising convolutional autoencoder written in Pytorch for some experiments.

PyTorch implementation of DEC (Deep Embedding Clustering)

Convolutional Neural Network ⭐ 112

Compressive Autoencoder.

Deep Autoencoders For Collaborative Filtering ⭐ 111

Using Deep Autoencoders for predictions of movie ratings.

Automating Technical Analysis ⭐ 108

Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.

Gesture Generation From Trimodal Context ⭐ 106

Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker Identity (SIGGRAPH Asia 2020)

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