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Search results for python autoencoder
autoencoder
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python
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578 search results found
Pytorch Gan
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15,262
PyTorch implementations of Generative Adversarial Networks.
Pyod
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7,751
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Pytorch Tutorial
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7,372
Build your neural network easy and fast, 莫烦Python中文教学
Tensorflow Tutorial
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3,873
Tensorflow tutorial from basic to hard
Alae
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2,850
[CVPR2020] Adversarial Latent Autoencoders
Ddsp
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2,557
DDSP: Differentiable Digital Signal Processing
Dimensionality_reduction_alo_codes
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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
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1,612
Use unsupervised and supervised learning to predict stocks
Advanced Deep Learning With Keras
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1,534
Advanced Deep Learning with Keras, published by Packt
Ipynb_playground
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1,530
Various ipython notebooks
Niftynet
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1,170
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Repo 2017
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1,146
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Tensorflow 101
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987
TensorFlow 101: Introduction to Deep Learning
Neurec
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861
Next RecSys Library
Deepsvg
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829
[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.
Nvae
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826
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
Ad_examples
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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.
Autovc
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687
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Ufldl_tutorial
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680
Stanford Unsupervised Feature Learning and Deep Learning Tutorial
Tensorflow Vae Gan Draw
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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
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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
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547
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
Vae Cvae Mnist
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508
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Face Aging Caae
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497
Age Progression/Regression by Conditional Adversarial Autoencoder
Conditional Pixelcnn Decoder
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470
Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
Dancenet
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453
DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
Keras Molecules
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448
Autoencoder network for learning a continuous representation of molecular structures.
Deep_white_balance
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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
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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
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407
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Pytorch Made
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397
MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
Time Series Autoencoder
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386
📈 PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series 📈
Chemical_vae
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383
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
Tensorflow Mnist Vae
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379
Tensorflow implementation of variational auto-encoder for MNIST
Sequitur
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370
Library of autoencoders for sequential data
Timeseries Clustering Vae
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366
Variational Recurrent Autoencoder for timeseries clustering in pytorch
Adversarial_autoencoder
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356
A wizard's guide to Adversarial Autoencoders
Autoencoding_beyond_pixels
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350
Generative image model with learned similarity measures
Cppn Gan Vae Tensorflow
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316
Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
Memae Anomaly Detection
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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
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305
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Augmentedautoencoder
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297
Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
Accel Brain Code
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289
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
Handson Ml
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277
도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
Deepadots
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270
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
Artificio
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269
Deep Learning Computer Vision Algorithms for Real-World Use
Theano Lights
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269
Deep learning research framework based on Theano
Deep Sad Pytorch
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268
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
Vq Vae
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238
Minimalist implementation of VQ-VAE in Pytorch
Pointnet Autoencoder
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230
Autoencoder for Point Clouds
Adversarial Autoencoder
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225
Chainer implementation of adversarial autoencoder (AAE)
Autoencoder
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207
Text autoencoder with LSTMs
Dca
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203
Deep count autoencoder for denoising scRNA-seq data
Parmesan
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199
Variational and semi-supervised neural network toppings for Lasagne
Deep Learning For Hackers
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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
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189
Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925
Danmf
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187
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Automating Technical Analysis
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182
Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.
Practical Machine Learning With Python
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182
Machine Learning Tutorials in Python
Lstm Autoencoder
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172
TensorFlow LSTM-autoencoder implementation
Convolutional_autoencoder
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169
Code for a convolutional autoencoder written on python, theano, lasagne, nolearn
Graph Representation Learning
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168
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
Keras Convautoencoder
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167
Keras autoencoders (convolutional/fcc) [proof of concept]
Mvtec Anomaly Detection
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162
This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.
Vde
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161
Variational Autoencoder for Dimensionality Reduction of Time-Series
Singleviewreconstruction
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159
Official Code: 3D Scene Reconstruction from a Single Viewport
Image_similarity
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156
PyTorch Blog Post On Image Similarity Search
Numalogic
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156
Collection of operational time series ML models and tools
Swapping Autoencoder Pytorch
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153
Unofficial implementation of Swapping Autoencoder for Deep Image Manipulation (https://arxiv.org/abs/2007.00653) in PyTorch
Tensorflowdeepautoencoder
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148
MNIST Digit Classification Using Stacked Autoencoder And TensorFlow
Vae_anomaly_detection
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148
Codeslam
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146
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
Deep_image_prior
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146
Image reconstruction done with untrained neural networks.
Featdepth
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143
This is the offical codes for the methods described in the "Feature-metric Loss for Self-supervised Learning of Depth and Egomotion".
Learned Sim Autoencoder For Video Frames
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140
An implementation of an autoencoder with a learned similarity metric for reconstructing video frames
Tensorflow Mnist Cvae
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134
Tensorflow implementation of conditional variational auto-encoder for MNIST
Lstm Autoencoders
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134
Anomaly detection for streaming data using autoencoders
Text Autoencoders
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131
Kate
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130
Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"
Net2net
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128
Network-to-Network Translation with Conditional Invertible Neural Networks
Oneshottranslation
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126
Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
Kitnet Py
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124
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
Gon
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123
Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
Deepinfomaxpytorch
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123
Learning deep representations by mutual information estimation and maximization
Unsupervised_anomaly_detection_brain_mri
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123
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Tensorflow_stacked_denoising_autoencoder
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123
Implementation of the stacked denoising autoencoder in Tensorflow
Rnn_recsys
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122
Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"
Molecule Autoencoder
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119
A project to enable optimization of molecules by transforming them to and from a continuous representation.
Denoisingautoencoder
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117
Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation
Variational Autoencoder Pytorch
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114
Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset
Pt Dec
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114
PyTorch implementation of DEC (Deep Embedding Clustering)
Stacked Autoencoder Pytorch
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114
Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
Dsrvae
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114
Unsupervised Real Image Super-Resolution via Variational AutoEncoder in CVPR2020
Convolutional Neural Network
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112
Deep Autoencoders For Collaborative Filtering
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111
Using Deep Autoencoders for predictions of movie ratings.
Cae
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111
Compressive Autoencoder.
Gesture Generation From Trimodal Context
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106
Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker Identity (SIGGRAPH Asia 2020)
Gpnd
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106
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Repo 2016
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105
R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
Tmu
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104
Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.
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