An open API service providing repository metadata for many open source software ecosystems.

Topic: "autoencoder"

yzhao062/pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Language: Python - Size: 39.3 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 9,231 - Forks: 1,416

MorvanZhou/PyTorch-Tutorial

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

Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: 18 days ago - Pushed at: about 2 years ago - Stars: 8,303 - Forks: 3,109

BinRoot/TensorFlow-Book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Language: Jupyter Notebook - Size: 43.6 MB - Last synced at: 11 days ago - Pushed at: about 2 years ago - Stars: 4,449 - Forks: 1,201

MorvanZhou/Tensorflow-Tutorial

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Language: Python - Size: 37.1 MB - Last synced at: 10 days ago - Pushed at: over 4 years ago - Stars: 4,346 - Forks: 1,866

podgorskiy/ALAE

[CVPR2020] Adversarial Latent Autoencoders

Language: Python - Size: 203 MB - Last synced at: 10 days ago - Pushed at: over 4 years ago - Stars: 3,523 - Forks: 555

NELSONZHAO/zhihu

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Language: Jupyter Notebook - Size: 157 MB - Last synced at: 17 days ago - Pushed at: almost 4 years ago - Stars: 3,514 - Forks: 2,129

golbin/TensorFlow-Tutorials

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Language: Python - Size: 160 MB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 2,131 - Forks: 989

PacktPublishing/Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

Language: Python - Size: 700 MB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 1,914 - Forks: 989

VivekPa/AIAlpha

Use unsupervised and supervised learning to predict stocks

Language: Python - Size: 13.2 MB - Last synced at: 16 days ago - Pushed at: almost 5 years ago - Stars: 1,819 - Forks: 450

NifTK/NiftyNet 📦

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

Language: Python - Size: 11 MB - Last synced at: 6 days ago - Pushed at: about 5 years ago - Stars: 1,377 - Forks: 402

RubensZimbres/Repo-2017

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Language: Python - Size: 40.4 MB - Last synced at: 16 days ago - Pushed at: over 3 years ago - Stars: 1,191 - Forks: 677

alexandre01/deepsvg

[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.

Language: Jupyter Notebook - Size: 11 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 1,064 - Forks: 106

wubinzzu/NeuRec

Next RecSys Library

Language: Python - Size: 17.6 MB - Last synced at: 16 days ago - Pushed at: about 2 years ago - Stars: 1,057 - Forks: 220

wmhello/laravel_template_with_vue

laravel6和vue-element-admin结合的前后端分离项目模板。包含接口端、管理端、小程序和微信公众号端,绝对是你做外包或者自建项目的首选模板。模板内容包括基础的用户管理和权限管理、日志管理、集成第三方登录,整合workerman框架中的GatewayWorker项目来实现了websocket 做到了消息的实时推送,并在此基础上,实现了聊天室和客服功能;实现低代码开发,能分析数据表内容及其设置,实现自动生成代码。

Language: PHP - Size: 89.6 MB - Last synced at: 15 days ago - Pushed at: almost 2 years ago - Stars: 970 - Forks: 269

phizaz/diffae

Official implementation of Diffusion Autoencoders

Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: 16 days ago - Pushed at: 9 months ago - Stars: 919 - Forks: 146

shubhomoydas/ad_examples

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.

Language: Python - Size: 125 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 855 - Forks: 184

GoogleCloudPlatform/keras-idiomatic-programmer 📦

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Language: Jupyter Notebook - Size: 94.6 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 817 - Forks: 282

wagamamaz/tensorflow-tutorial

TensorFlow and Deep Learning Tutorials

Size: 7.81 KB - Last synced at: 14 days ago - Pushed at: over 7 years ago - Stars: 734 - Forks: 210

JulesBelveze/time-series-autoencoder

PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series

Language: Python - Size: 343 KB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 675 - Forks: 67

EndlessSora/focal-frequency-loss

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

Language: Python - Size: 4.93 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 659 - Forks: 64

mahmoudnafifi/Deep_White_Balance

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

Language: Python - Size: 103 MB - Last synced at: 7 months ago - Pushed at: almost 2 years ago - Stars: 536 - Forks: 69

jsn5/dancenet

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

Language: Python - Size: 1.67 MB - Last synced at: 6 months ago - Pushed at: over 5 years ago - Stars: 513 - Forks: 82

shayneobrien/generative-models

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

Language: Jupyter Notebook - Size: 143 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 498 - Forks: 73

hwalsuklee/tensorflow-mnist-VAE

Tensorflow implementation of variational auto-encoder for MNIST

Language: Python - Size: 374 KB - Last synced at: 6 days ago - Pushed at: about 8 years ago - Stars: 496 - Forks: 180

Kaixhin/Autoencoders

Torch implementations of various types of autoencoders

Language: Lua - Size: 44.9 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 460 - Forks: 77

shobrook/sequitur

Library of autoencoders for sequential data

Language: Python - Size: 1.94 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 441 - Forks: 56

charlesq34/pointnet-autoencoder

Autoencoder for Point Clouds

Language: Python - Size: 472 KB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 430 - Forks: 88

tejaslodaya/timeseries-clustering-vae

Variational Recurrent Autoencoder for timeseries clustering in pytorch

Language: Python - Size: 3.85 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 406 - Forks: 74

ethanluoyc/pytorch-vae

A Variational Autoencoder (VAE) implemented in PyTorch

Language: Python - Size: 3.91 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 390 - Forks: 107

lucashu1/link-prediction

Representation learning for link prediction within social networks

Language: Jupyter Notebook - Size: 124 MB - Last synced at: 2 months ago - Pushed at: almost 7 years ago - Stars: 350 - Forks: 114

akurgat/automating-technical-analysis

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

Language: Python - Size: 53.6 MB - Last synced at: 16 days ago - Pushed at: 4 months ago - Stars: 346 - Forks: 85

sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Language: Jupyter Notebook - Size: 206 MB - Last synced at: 13 days ago - Pushed at: over 4 years ago - Stars: 345 - Forks: 186

marian42/shapegan

Generative Adversarial Networks and Autoencoders for 3D Shapes

Language: Python - Size: 25.7 MB - Last synced at: 19 days ago - Pushed at: over 3 years ago - Stars: 319 - Forks: 56

DuaneNielsen/DeepInfomaxPytorch

Learning deep representations by mutual information estimation and maximization

Language: Python - Size: 388 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 303 - Forks: 48

mmalekzadeh/motion-sense

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)

Language: Jupyter Notebook - Size: 197 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 292 - Forks: 95

rickiepark/handson-ml Fork of ageron/handson-ml

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

Language: Jupyter Notebook - Size: 146 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 288 - Forks: 279

bdy9527/SDCN

Structural Deep Clustering Network

Language: Python - Size: 88.3 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 274 - Forks: 72

tensorlayer/awesome-tensorlayer

A curated list of dedicated resources and applications

Size: 94.7 KB - Last synced at: 19 days ago - Pushed at: over 5 years ago - Stars: 268 - Forks: 59

oke-aditya/image_similarity

PyTorch Blog Post On Image Similarity Search

Language: Python - Size: 7.16 MB - Last synced at: 19 days ago - Pushed at: almost 3 years ago - Stars: 256 - Forks: 60

vlukiyanov/pt-dec

PyTorch implementation of DEC (Deep Embedding Clustering)

Language: Python - Size: 63.5 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 251 - Forks: 55

conan7882/adversarial-autoencoders

Tensorflow implementation of Adversarial Autoencoders

Language: Python - Size: 2.6 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 246 - Forks: 39

koba-jon/pytorch_cpp

Deep Learning sample programs using PyTorch in C++

Language: C++ - Size: 870 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 225 - Forks: 49

ymirsky/KitNET-py

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

Language: Python - Size: 35 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 220 - Forks: 74

atiyo/deep_image_prior

Image reconstruction done with untrained neural networks.

Language: Python - Size: 28 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 208 - Forks: 29

denisyarats/pytorch_sac_ae

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

Language: Python - Size: 381 KB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 206 - Forks: 32

benedekrozemberczki/DANMF

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

Language: Python - Size: 2.31 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 205 - Forks: 41

rpng/calc

Convolutional Autoencoder for Loop Closure

Language: Python - Size: 31.6 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 199 - Forks: 46

despoisj/LatentSpaceVisualization

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

Language: Python - Size: 863 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 196 - Forks: 49

wblgers/tensorflow_stacked_denoising_autoencoder

Implementation of the stacked denoising autoencoder in Tensorflow

Language: Python - Size: 11 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 191 - Forks: 85

StefanDenn3r/Unsupervised_Anomaly_Detection_Brain_MRI

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

Language: Python - Size: 97.7 KB - Last synced at: about 11 hours ago - Pushed at: about 2 years ago - Stars: 185 - Forks: 33

c1mone/Tensorflow-101

中文的 tensorflow tutorial with jupyter notebooks

Language: Jupyter Notebook - Size: 6.97 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 184 - Forks: 72

binli826/LSTM-Autoencoders

Anomaly detection for streaming data using autoencoders

Language: Python - Size: 46.4 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 182 - Forks: 46

silviutroscot/CodeSLAM

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

Language: Python - Size: 35.2 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 180 - Forks: 23

GitiHubi/deepAI

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.

Language: Jupyter Notebook - Size: 36.6 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 179 - Forks: 80

markovmodel/deeptime

Deep learning meets molecular dynamics.

Language: Jupyter Notebook - Size: 2.57 MB - Last synced at: 26 days ago - Pushed at: about 6 years ago - Stars: 178 - Forks: 40

greenelab/tybalt

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

Language: HTML - Size: 99.3 MB - Last synced at: 16 days ago - Pushed at: over 6 years ago - Stars: 169 - Forks: 62

araffin/srl-zoo

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

Language: Python - Size: 4.51 MB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 163 - Forks: 18

makgyver/rectorch

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

Language: Python - Size: 3.25 MB - Last synced at: 24 days ago - Pushed at: about 4 years ago - Stars: 151 - Forks: 19

hwalsuklee/tensorflow-mnist-CVAE

Tensorflow implementation of conditional variational auto-encoder for MNIST

Language: Python - Size: 590 KB - Last synced at: about 2 months ago - Pushed at: about 8 years ago - Stars: 150 - Forks: 41

rajarsheem/libsdae-autoencoder-tensorflow

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

Language: Python - Size: 3.1 MB - Last synced at: 13 days ago - Pushed at: about 7 years ago - Stars: 149 - Forks: 39

cair/tmu

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.

Language: Python - Size: 300 MB - Last synced at: 19 days ago - Pushed at: about 1 month ago - Stars: 145 - Forks: 20

hugochan/KATE

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

Language: Python - Size: 4.8 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 143 - Forks: 49

richzhang/splitbrainauto

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

Language: Shell - Size: 10.9 MB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 140 - Forks: 31

chrismattmann/MLwithTensorFlow2ed

Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications

Language: Jupyter Notebook - Size: 546 MB - Last synced at: 27 days ago - Pushed at: over 2 years ago - Stars: 139 - Forks: 69

VCL3D/DeepDepthDenoising

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

Language: Python - Size: 6.2 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 130 - Forks: 21

podgorskiy/GPND

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Language: Python - Size: 5.71 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 129 - Forks: 31

tgsmith61591/smrt

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

Language: Python - Size: 81 MB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 126 - Forks: 26

madhavmk/Noise2Noise-audio_denoising_without_clean_training_data

Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.

Language: Jupyter Notebook - Size: 348 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 125 - Forks: 37

cbaziotis/seq3

Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"

Language: Python - Size: 16.6 MB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 124 - Forks: 18

plutoyuxie/AutoEncoder-SSIM-for-unsupervised-anomaly-detection-

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

Language: Python - Size: 325 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 121 - Forks: 26

BorgwardtLab/topological-autoencoders 📦

Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.

Language: Python - Size: 50.5 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 117 - Forks: 28

ypwhs/deeplearning-models Fork of rasbt/deeplearning-models 📦

各种深度学习结构、模型和技巧的集合

Language: Jupyter Notebook - Size: 7.25 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 116 - Forks: 36

dsgiitr/VisualML

Interactive Visual Machine Learning Demos.

Language: CSS - Size: 70.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 114 - Forks: 23

andi611/ZeroSpeech-TTS-without-T

A Pytorch implementation for the ZeroSpeech 2019 challenge.

Language: Python - Size: 99.2 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 112 - Forks: 12

jbramburger/DataDrivenDynSyst

Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

Language: Jupyter Notebook - Size: 79.1 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 111 - Forks: 20

artem-oppermann/Deep-Autoencoders-For-Collaborative-Filtering

Using Deep Autoencoders for predictions of movie ratings.

Language: Python - Size: 34.3 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 111 - Forks: 41

immortal3/AutoEncoder-Based-Communication-System

Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/

Language: Jupyter Notebook - Size: 121 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 111 - Forks: 75

lyeoni/pytorch-mnist-VAE

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 111 - Forks: 48

RubensZimbres/Repo-2016

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

Language: Python - Size: 5 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 107 - Forks: 114

vlukiyanov/pt-sdae

PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)

Language: Python - Size: 75.2 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 106 - Forks: 31

GaloisInc/dlkoopman

A general-purpose Python package for Koopman theory using deep learning.

Language: Python - Size: 10.8 MB - Last synced at: 1 day ago - Pushed at: 4 months ago - Stars: 104 - Forks: 14

preritj/segmentation

Tensorflow implementation : U-net and FCN with global convolution

Language: Python - Size: 646 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 100 - Forks: 33

sylvaticus/BetaML.jl

Beta Machine Learning Toolkit

Language: Julia - Size: 34.5 MB - Last synced at: 7 days ago - Pushed at: 16 days ago - Stars: 99 - Forks: 13

GestureGeneration/Speech_driven_gesture_generation_with_autoencoder

This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".

Language: Python - Size: 1.98 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 99 - Forks: 25

whyisyoung/CADE

Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

Language: Python - Size: 188 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 99 - Forks: 31

FlorentF9/DESOM

:globe_with_meridians: Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

Language: Python - Size: 6.72 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 97 - Forks: 30

y-kawagu/dcase2020_task2_baseline

DCASE2020 Challenge Task 2 baseline system

Language: Python - Size: 45.9 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 93 - Forks: 46

xiaohan2012/sdne-keras

Keras implementation of Structural Deep Network Embedding, KDD 2016

Language: Python - Size: 203 KB - Last synced at: 2 months ago - Pushed at: about 7 years ago - Stars: 92 - Forks: 31

cxhernandez/molencoder

Molecular AutoEncoder in PyTorch

Language: Python - Size: 49.8 MB - Last synced at: 2 months ago - Pushed at: about 5 years ago - Stars: 90 - Forks: 17

IoBT-VISTEC/MIN2Net

End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)

Language: Python - Size: 19.4 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 89 - Forks: 25

eifuentes/swae-pytorch

Implementation of the Sliced Wasserstein Autoencoder using PyTorch

Language: Python - Size: 1.28 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 89 - Forks: 13

hwalsuklee/tensorflow-mnist-AAE

Tensorflow implementation of adversarial auto-encoder for MNIST

Language: Python - Size: 1.34 MB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 87 - Forks: 27

mathLab/EZyRB

Easy Reduced Basis method

Language: Jupyter Notebook - Size: 37 MB - Last synced at: 3 days ago - Pushed at: 3 months ago - Stars: 85 - Forks: 65

arman-aminian/lofi-generator

Music(Lo-fi) generation using deep learning techniques.

Language: Jupyter Notebook - Size: 52.3 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 83 - Forks: 12

eelxpeng/UnsupervisedDeepLearning-Pytorch

This repository tries to provide unsupervised deep learning models with Pytorch

Language: Python - Size: 22.6 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 83 - Forks: 26

psipred/protein-vae

Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies

Language: Python - Size: 27.3 MB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 81 - Forks: 17

wangz10/tensorflow-playground

Implementations of some Deep Learning models using tensorflow with scikit-learn like APIs

Language: Python - Size: 32.2 KB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 81 - Forks: 34

niazangels/vae-pokedex

The companion code for How to Autoencode your Pokemon

Language: Jupyter Notebook - Size: 35.2 MB - Last synced at: about 1 month ago - Pushed at: almost 8 years ago - Stars: 79 - Forks: 22

lucidrains/maskbit-pytorch

Implementation of the proposed MaskBit from Bytedance AI

Language: Python - Size: 295 KB - Last synced at: 17 days ago - Pushed at: 7 months ago - Stars: 78 - Forks: 1

ariG23498/mae-scalable-vision-learners

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

Language: Jupyter Notebook - Size: 38.7 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 78 - Forks: 15

Related Topics
deep-learning 603 machine-learning 340 pytorch 298 tensorflow 287 python 237 keras 206 neural-network 160 cnn 156 convolutional-neural-networks 141 anomaly-detection 133 variational-autoencoder 115 computer-vision 98 gan 92 vae 87 deep-neural-networks 83 mnist 82 unsupervised-learning 78 lstm 77 generative-adversarial-network 71 neural-networks 70 clustering 53 classification 53 dimensionality-reduction 53 generative-model 51 rnn 50 python3 48 pca 46 image-processing 46 keras-tensorflow 41 deeplearning 38 denoising-autoencoders 38 autoencoders 36 nlp 36 jupyter-notebook 35 tensorflow2 35 recurrent-neural-networks 35 reinforcement-learning 33 artificial-intelligence 31 data-science 31 transfer-learning 30 autoencoder-mnist 29 time-series 29 ai 27 recommender-system 26 pytorch-implementation 26 numpy 26 regression 25 denoising 25 transformer 24 segmentation 24 convolutional-autoencoder 24 representation-learning 24 artificial-neural-networks 22 self-supervised-learning 22 unet 22 mnist-dataset 22 mlp 21 autoencoder-neural-network 20 principal-component-analysis 20 natural-language-processing 20 feature-extraction 20 image-classification 20 word2vec 19 logistic-regression 19 cifar10 19 random-forest 19 encoder-decoder 18 collaborative-filtering 18 style-transfer 16 opencv 16 lstm-neural-networks 16 machine-learning-algorithms 16 isolation-forest 16 fraud-detection 16 visualization 16 kmeans-clustering 16 matplotlib 16 compression 15 encoder 14 feature-engineering 14 image-generation 14 pandas 14 image-compression 14 xgboost 14 ml 14 seq2seq 14 generative-models 14 outlier-detection 14 semi-supervised-learning 13 linear-regression 13 gans 13 vae-pytorch 13 dcgan 13 decoder 13 resnet 13 dimension-reduction 13 scikit-learn 13 streamlit 13 vgg16 13 variational-inference 12