182 Open source projects that are alternatives of or similar to GATE

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

A curated list of dedicated resources and applications

Implementation of the stacked denoising autoencoder in Tensorflow

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

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

Using Autoencoders for classification as unsupervised machine learning algorithms with Deep Learning.

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

Easy Reduced Basis method

Learning deep representations by mutual information estimation and maximization

Anomaly detection for streaming data using autoencoders

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.

Library of autoencoders for sequential data

Integrated Cell project implemented in pytorch

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

Tensorflow implementation of adversarial auto-encoder for MNIST

Focal Frequency Loss for Generative Models

A Resynthesizer-based content aware fill Effect plugin for Paint.NET

PyTorch implementation of DEC (Deep Embedding Clustering)

🛍️RetailBox - eCommerce Recommender System using Machine Learning

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

A Variational Autoencoder (VAE) implemented in PyTorch

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Tensorflow 2.0 implementation of Adversarial Autoencoders

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

Structural Deep Clustering Network

Tensorflow implementation : U-net and FCN with global convolution

Image reconstruction done with untrained neural networks.

Theano implementation of Sequence-to-Sequence Autoencoder

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

Image retrieval program made in Tensorflow supporting VGG16, VGG19, InceptionV3 and InceptionV4 pretrained networks and own trained Convolutional autoencoder.

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

smartcrop implementation in php extension

Generative Adversarial Networks and Autoencoders for 3D Shapes

Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019

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

Implementation of the Swin Transformer in PyTorch.

Tensorflow implementation of conditional variational auto-encoder for MNIST

This is the official implementation for the paper 'AutoEncoder by Forest'

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

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

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

Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders

Deep learning meets molecular dynamics.

Representation learning for link prediction within social networks

Convolutional Autoencoder for Loop Closure

Unofficial implementation algorithms of attention models on SNLI dataset

Deep Learning sample programs using PyTorch in C++

Tensorflow implementation of Adversarial Autoencoders

Autoencoders in Keras

Hands-on in-person workshop for Deep Learning with TensorFlow

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

Variational Recurrent Autoencoder for timeseries clustering in pytorch

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

Grapheme To Phoneme

Using Deep Autoencoders for predictions of movie ratings.

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Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).

Real time face landmarking using decision trees and NN autoencoders

"Arbitrary Style Transfer with Style-Attentional Networks" (CVPR 2019)

(Python, R, C++) Library-agnostic evaluation framework for implicit-feedback recommender systems