Alternatives and similar repositories for ExGAN

Users that are interested in ExGAN are comparing it to the libraries listed below

• LeeDoYup / TGGNet-keras
  Official implementation of Temporal-Guided Networks
  ☆48Updated 5 years ago
• GeorgeKyriakides / nord
  Deep neural architecture research framework
  ☆12Updated 2 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 4 years ago
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆59Updated 7 years ago
• Rose-STL-Lab / torchTS
  Time series forecasting with PyTorch
  ☆85Updated last week
• paobranco / SMOGN-LIDTA17
  SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
  ☆26Updated 8 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 5 years ago
• aqibsaeed / Entity-Embedding-with-LSTM-for-Time-Series
  Entity Embedding with LSTM for Time Series
  ☆31Updated 5 years ago
• L-Lewis / Predicting-traffic-accidents-CNN
  ☆37Updated 5 years ago
• BGU-CS-VIL / dtan
  Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…
  ☆67Updated last year
• gevaertlab / DAPL
  Autoencoder network for imputing missing values
  ☆27Updated 6 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 5 years ago
• geoslegend / Deep-Learning-for-Spatio-temporal-Prediction
  ☆58Updated 6 years ago
• avkl / twinning
  Data Twinning
  ☆25Updated 2 years ago
• jianzhnie / AutoTabular
  Automatic machine learning for tabular data. ⚡🔥⚡
  ☆70Updated 4 years ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆66Updated 3 months ago
• abhinavralhan / kohonen-maps
  Implementation of SOM and GSOM
  ☆73Updated 7 years ago
• widmi / widis-lstm-tools
  Tools for working with Long Short-Term Memory (LSTM) networks and sequences in Pytorch
  ☆36Updated 4 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆29Updated 5 years ago
• ilia10000 / LO-Shot
  Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning
  ☆88Updated last year
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• XinshaoAmosWang / DeepCriticalLearning
  Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
  ☆31Updated 2 years ago
• fsschneider / cockpit-experiments
  Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"
  ☆13Updated 4 years ago
• geflaspohler / poold
  Python library for Optimistic Online Learning under Delay
  ☆13Updated 3 years ago
• yngtdd / hyperspace
  Distributed Bayesian Optimization
  ☆23Updated 5 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 3 years ago
• moorecsys / moorecsys.github.io
  Tutorial on Multi-Objective Recommender Systems @ KDD 2021
  ☆19Updated 3 years ago
• vcerqueira / experiments-sizematters
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆41Updated last week
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆29Updated 2 years ago
• anonICLR2020 / node
  ☆26Updated 6 years ago