Alternatives and similar repositories for acl

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

• renmengye / meta-optim-public
  Understanding Short-Horizon Bias in Stochastic Meta-Optimization
  ☆37Updated 7 years ago
• lrjconan / RBP
  Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
  ☆43Updated 6 years ago
• zihangdai / cegan_iclr2017
  Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"
  ☆24Updated 7 years ago
• miyosuda / scan
  SCAN: Learning Abstract Hierarchical Compositional Visual Concepts
  ☆54Updated 7 years ago
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆46Updated 7 years ago
• iassael / torch-e2c
  Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆43Updated 9 years ago
• bioinf-jku / coulomb_gan
  Implementation of Coulomb GANs
  ☆62Updated 4 years ago
• cmaddis / astar-sampling
  A generic Monte Carlo method based on the Gumbel-Max trick.
  ☆32Updated 9 years ago
• ermongroup / lagvae
  Lagrangian VAE
  ☆28Updated 7 years ago
• y0ast / VIMCO
  Implementation of "Variational Inference for Monte Carlo Objectives"
  ☆21Updated 5 years ago
• akosiorek / sqair
  Implementation of Sequential Attend, Infer, Repeat (SQAIR)
  ☆97Updated 6 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 6 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 7 years ago
• enalisnick / mixture_density_VAEs
  Variational Autoencoders with Gaussian Mixture Latent Space
  ☆36Updated 8 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated 2 years ago
• jacobandreas / l3
  Learning with latent language
  ☆51Updated 4 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…
  ☆39Updated 7 years ago
• pierrelux / rlss2017
  ☆17Updated 8 years ago
• jiamings / ais
  Annealed Importance Sampling (AIS) for generative models.
  ☆16Updated 7 years ago
• stelzner / supair
  Implementation of Sum-Product Attend-Infer-Repeat
  ☆31Updated 5 years ago
• akosiorek / attend_infer_repeat
  A Tensorfflow implementation of Attend, Infer, Repeat
  ☆81Updated 6 years ago
• nyu-dl / MultimodalGame
  ☆57Updated 7 years ago
• wlwkgus / NoisyNaturalGradient
  Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
  ☆121Updated 7 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆73Updated 9 years ago
• Philip-Bachman / MatNets-NIPS
  Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"
  ☆14Updated 8 years ago
• anirudh9119 / zforcing_nips17
  Z Forcing: Training Stochastic RNN's, NIPS'17
  ☆32Updated 7 years ago
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 6 years ago
• DartML / SteinGAN
  code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning
  ☆27Updated 6 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• gyglim / dvn
  Reference implementation for Structured Prediction with Deep Value Networks
  ☆55Updated 8 years ago