jalexvig / associative_compression_networks

Related projects ⓘ

Alternatives and complementary repositories for associative_compression_networks

• egrefen / splitappendix
  A simple shellscript for splitting the PDF of a paper into the main body and an appendix.
  ☆18Updated 4 years ago
• microsoft / jackknife-variational-inference
  Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.
  ☆21Updated 6 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆33Updated last year
• ermongroup / bgm
  Code for "Boosted Generative Models", AAAI 2018.
  ☆20Updated 6 years ago
• google / joint_vae
  Code to build VAE models that are jointly conditioned.
  ☆36Updated 6 years ago
• lrjconan / RBP
  Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
  ☆39Updated 5 years ago
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆45Updated 6 years ago
• csc2541-f17 / csc2541-f17.github.io
  ☆12Updated 6 years ago
• chenxy99 / Generative-Temporal-Models-with-Spatial-Memory
  Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"
  ☆29Updated 2 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 5 years ago
• pierrelux / rlss2017
  ☆17Updated 7 years ago
• wgrathwohl / BackpropThroughTheVoidRL
  RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…
  ☆38Updated 6 years ago
• ermongroup / markov-chain-gan
  Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
  ☆80Updated 7 years ago
• DmitryUlyanov / pytorch-in-theano
  Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).
  ☆18Updated 7 years ago
• zihangdai / cegan_iclr2017
  Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"
  ☆23Updated 7 years ago
• cmdowney / psrnn
  Predictive State Recurrent Neural Networks
  ☆18Updated 4 years ago
• bengioe / condnet
  Implementation of condnets
  ☆15Updated 8 years ago
• ermongroup / acl
  Code for "Adversarial Constraint Learning for Structured Prediction"
  ☆14Updated 6 years ago
• Shallow-Updates-for-Deep-RL / Shallow_Updates_for_Deep_RL
  Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"
  ☆18Updated 7 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆38Updated 5 years ago
• ThomasMiconi / BOHP_RNN
  Backprop training of recurrent neural networks with Hebbian plastic connections
  ☆20Updated 3 years ago
• PrincetonLIPS / reversible-inductive-construction
  Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)
  ☆30Updated 3 years ago
• myshkov / bnn-analysis
  ☆15Updated 7 years ago
• artix41 / AVO-pytorch
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Updated 6 years ago
• obilaniu / Nauka
  Nauka is a collection of utilities for scientific experiments.
  ☆15Updated 2 years ago
• jsikyoon / programmable-agents_tensorflow
  Tensorflow Implementation of Programmable Agents
  ☆36Updated 7 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• akosiorek / attend_infer_repeat
  A Tensorfflow implementation of Attend, Infer, Repeat
  ☆82Updated 5 years ago
• djsutherland / igms
  Implicit generative models and related stuff based on the MMD, in PyTorch
  ☆16Updated 4 years ago
• ermongroup / BiasAndGeneralization
  ☆26Updated 5 years ago