Alternatives and similar repositories for CoopNets:

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

• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 5 years ago
• FANG-Xiaolin / pytorch-CoopNets
  pytorch implementation for CoopNet
  ☆27Updated 5 years ago
• lorraine2 / hypernet-hypertraining
  Code for Stochastic Hyperparameter Optimization through Hypernetworks
  ☆23Updated 6 years ago
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 6 years ago
• ishansd / swg
  Sliced Wasserstein Generator
  ☆37Updated 6 years ago
• lrjconan / RBP
  Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
  ☆41Updated 6 years ago
• shinseung428 / DRS_Tensorflow
  Tensorflow implementation of Discriminator Rejection Sampling
  ☆24Updated 5 years ago
• BB-UCL / Lasagne
  ☆13Updated 6 years ago
• thjashin / gp-infer-net
  Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019
  ☆41Updated 2 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 7 years ago
• thjashin / spectral-stein-grad
  Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)
  ☆32Updated last year
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated last year
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 5 years ago
• YingzhenLi / SteinGrad
  Code release for the ICLR paper
  ☆20Updated 6 years ago
• dilinwang820 / adaptive-f-divergence
  A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"
  ☆20Updated 6 years ago
• xqding / Importance_Weighted_Autoencoders
  A PyTorch Implementation of the Importance Weighted Autoencoders
  ☆40Updated 6 years ago
• jrbtaylor / conditional-pixelcnn
  A PyTorch implementation of Conditional PixelCNNs
  ☆27Updated 7 years ago
• MichaelArbel / Scaled-MMD-GAN
  Scaled MMD GAN
  ☆36Updated 5 years ago
• hschoi1 / rich_latent
  rich posterior approximations and anomaly detection
  ☆20Updated 5 years ago
• cunningham-lab / igr
  ☆31Updated 4 years ago
• sungyubkim / amortized_svgd
  A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN
  ☆18Updated 6 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 4 years ago
• dfdazac / vaesbd
  Variational Autoencoder with Spatial Broadcast Decoder
  ☆35Updated 5 years ago
• microsoft / conservative-uncertainty-estimation-random-priors
  Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
  ☆21Updated 2 years ago
• ananyahjha93 / disentangling-factors-of-variation-using-adversarial-training
  This repository contains a pytorch implementation for the paper: Disentangling factors of variation in deep representations using adversa…
  ☆32Updated 6 years ago
• denproc / Taming-VAEs
  ☆26Updated 6 years ago
• paruby / DIP-VAE
  An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…
  ☆24Updated 6 years ago
• neale / HyperGAN
  Generative Model for Neural Networks
  ☆24Updated 4 years ago
• brain-research / ncp
  Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
  ☆63Updated 4 years ago
• tkkiran / Robust-Conditional-GAN
  Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018
  ☆40Updated 6 years ago