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

Tensorflow_tutorials ⭐ 5,548

From the basics to slightly more interesting applications of Tensorflow

Zhihu ⭐ 3,228

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.

[CVPR2020] Adversarial Latent Autoencoders

Tensorflow Tutorials ⭐ 2,123

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Advanced Deep Learning With Keras ⭐ 1,534

Advanced Deep Learning with Keras, published by Packt

Deeplearning_tutorials ⭐ 1,216

The deeplearning algorithms implemented by tensorflow

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

Deep Learning Experiments ⭐ 1,050

Videos, notes and experiments to understand deep learning

Tensorflow 101 ⭐ 987

TensorFlow 101: Introduction to Deep Learning

Deep Learning Tensorflow ⭐ 966

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

Next RecSys Library

Deepsvg ⭐ 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.

Tutorial ⭐ 800

Deeplearning Algorithms Tutorial

Tensorflow Tutorial ⭐ 751

TensorFlow and Deep Learning Tutorials

Keras Idiomatic Programmer ⭐ 705

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

Official implementation of Diffusion Autoencoders

Ufldl_tutorial ⭐ 680

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

Handson Unsupervised Learning ⭐ 604

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

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).

Deep_learning_cookbook ⭐ 550

Deep Learning Cookbox

Torchlayers ⭐ 547

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

Vae Cvae Mnist ⭐ 508

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Conditional Pixelcnn Decoder ⭐ 470

Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network

Awesome Vaes ⭐ 448

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

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.

Autoencoders ⭐ 394

Torch implementations of various types of autoencoders

Adversarial_autoencoder ⭐ 356

A wizard's guide to Adversarial Autoencoders

Easy Deep Learning With Keras ⭐ 336

Keras tutorial for beginners (using TF backend)

Kekoxtutorial ⭐ 289

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

Credit Card Fraud Detection Using Autoencoders In Keras ⭐ 289

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Accel Brain Code ⭐ 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

Metarec ⭐ 282

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models

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.

Place Recognition Using Autoencoders And Nn ⭐ 250

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

Centersnap ⭐ 243

Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"

3d Mri Brain Tumor Segmentation Using Autoencoder Regularization ⭐ 243

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

Hands On Deep Learning Algorithms With Python ⭐ 241

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

Minimalist implementation of VQ-VAE in Pytorch

Pointnet Autoencoder ⭐ 230

Autoencoder for Point Clouds

Pytorch_cpp ⭐ 215

Deep Learning sample programs using PyTorch in C++

Deep count autoencoder for denoising scRNA-seq data

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)

Motion Sense ⭐ 189

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

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

Automating Technical Analysis ⭐ 182

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

Tensorflow 101 ⭐ 168

中文的 tensorflow tutorial with jupyter notebooks

Graph Representation Learning ⭐ 168

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

Deep_learning_algorithms_from_scratch ⭐ 164

This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON

Variational Autoencoder for Dimensionality Reduction of Time-Series

Singleviewreconstruction ⭐ 159

Official Code: 3D Scene Reconstruction from a Single Viewport

Numalogic ⭐ 156

Collection of operational time series ML models and tools

Swapping Autoencoder Pytorch ⭐ 153

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

Libsdae Autoencoder Tensorflow ⭐ 147

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

Deep_image_prior ⭐ 146

Image reconstruction done with untrained neural networks.

Codeslam ⭐ 146

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

Deep Learning ⭐ 128

Deep Learning Application Examples

Deep Steganography ⭐ 125

Hiding Images within other images using Deep Learning

Awesome Chainer ⭐ 125

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

Vae Tensorflow ⭐ 115

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

PyTorch implementation of DEC (Deep Embedding Clustering)

Deep Autoencoders For Collaborative Filtering ⭐ 111

Using Deep Autoencoders for predictions of movie ratings.

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

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Visualml ⭐ 106

Interactive Visual Machine Learning Demos.

Autoencoders ⭐ 105

Implementation of simple autoencoders networks with Keras

Repo 2016 ⭐ 105

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

Mad Twinnet ⭐ 101

The code for the MaD TwinNet. Demo page:

Mlwithtensorflow2ed ⭐ 101

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

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

CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description

Anomagram ⭐ 96

Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js

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

Convolutional Autoencoder for Loop Closure

An implementation of VAEGAN (variational autoencoder + generative adversarial network).

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.

Vae Pokedex ⭐ 72

The companion code for How to Autoencode your Pokemon

Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"

Hands On Ml ⭐ 69

Hands-On Machine Learning

Molencoder ⭐ 68

Molecular AutoEncoder in PyTorch

An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》

Autoencoder Based Communication System ⭐ 67

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/

Deepautocontroller ⭐ 64

Build a deep autoencoder. Acoustically monitor the influence of the middle code layer using a Kork nanoKontroller2.

Video_generator ⭐ 63

This is implementation of convolutional variational autoencoder in TensorFlow library and it will be used for video generation.

Unsuperviseddeeplearning Pytorch ⭐ 63

This repository tries to provide unsupervised deep learning models with Pytorch

Deep Learning For Clustering In Bioinformatics ⭐ 62

Deep Learning-based Clustering Approaches for Bioinformatics

DocEnTr: An end-to-end document image enhancement transformer - ICPR 2022

Swap Face ⭐ 61

Tutorial about the swap-face algorithm

Wsae Lstm ⭐ 61

implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)

Vae Gumbel Softmax ⭐ 60

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

AAAI 2021-Deep Fusion Clustering Network

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