There are 16 repositories under autoencoder topic.
Build your neural network easy and fast, 莫烦Python中文教学
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
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
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Use unsupervised and supervised learning to predict stocks
Advanced Deep Learning with Keras, published by Packt
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Next RecSys Library
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
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.
TensorFlow and Deep Learning Tutorials
Unifying Generative Autoencoder implementations in Python
[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.
DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
Tensorflow implementation of variational auto-encoder for MNIST
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Torch implementations of various types of autoencoders
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Autoencoder for Point Clouds
Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.
Variational Recurrent Autoencoder for timeseries clustering in pytorch
Representation learning for link prediction within social networks
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
A Variational Autoencoder (VAE) implemented in PyTorch
도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
Learning deep representations by mutual information estimation and maximization
Library of autoencoders for sequential data
A curated list of dedicated resources and applications
Generative Adversarial Networks and Autoencoders for 3D Shapes
Tensorflow implementation of Adversarial Autoencoders
:chart_with_upwards_trend: PyTorch dual-attention LSTM-autoencoder for multivariate Time Series :chart_with_upwards_trend:
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)