Alternatives and similar repositories for ExGAN

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

• XinshaoAmosWang / DeepCriticalLearning
  Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
  ☆31Updated 2 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
• LeeDoYup / TGGNet-keras
  Official implementation of Temporal-Guided Networks
  ☆48Updated 5 years ago
• Rose-STL-Lab / torchTS
  Time series forecasting with PyTorch
  ☆83Updated 3 weeks ago
• GeorgeKyriakides / nord
  Deep neural architecture research framework
  ☆12Updated 2 years ago
• gevaertlab / DAPL
  Autoencoder network for imputing missing values
  ☆27Updated 6 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 5 years ago
• ilia10000 / LO-Shot
  Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning
  ☆88Updated last year
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago
• microsoft / Icebreaker
  This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebr…
  ☆43Updated 6 years ago
• aqibsaeed / Entity-Embedding-with-LSTM-for-Time-Series
  Entity Embedding with LSTM for Time Series
  ☆31Updated 5 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 2 years ago
• rasbt / srgan-lightning-blog
  Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App
  ☆16Updated 3 years ago
• IntelLabs / TSAD-Evaluator
  Intel Labs open source repository for time series anomaly detection evaluator
  ☆42Updated 10 months ago
• geflaspohler / poold
  Python library for Optimistic Online Learning under Delay
  ☆13Updated 3 years ago
• jambo6 / neuralRDEs
  Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
  ☆118Updated 4 years ago
• ben-arnao / StoRM
  A neural network hyper parameter tuner
  ☆30Updated last year
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆72Updated 4 years ago
• avkl / twinning
  Data Twinning
  ☆25Updated 2 years ago
• AstraZeneca / judgyprophet
  Forecasting for knowable future events using Bayesian informative priors (forecasting with judgmental-adjustment).
  ☆59Updated 3 years ago
• FINRAOS / model-validation-toolkit
  Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…
  ☆29Updated last year
• CarsonScott / HSOM
  Hierarchical self-organizing maps for unsupervised pattern recognition
  ☆61Updated 5 years ago
• moorecsys / moorecsys.github.io
  Tutorial on Multi-Objective Recommender Systems @ KDD 2021
  ☆19Updated 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
• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆14Updated 5 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 5 years ago
• kpoeppel / pytorch_probgraph
  A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch
  ☆49Updated 5 years ago
• easeml / datascope
  Measuring data importance over ML pipelines using the Shapley value.
  ☆43Updated 2 months ago
• yngtdd / hyperspace
  Distributed Bayesian Optimization
  ☆23Updated 5 years ago
• geoslegend / Deep-Learning-for-Spatio-temporal-Prediction
  ☆58Updated 6 years ago