Alternatives and similar repositories for DaD

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

• sordonia / zforcing
  ZForcing Repo
  ☆40Updated 7 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆48Updated 7 years ago
• DeNeutoy / bayesian-rnn
  ☆62Updated 8 years ago
• ischlag / TPR-RNN
  Code for the publication Learning to Reason with Third-Order Tensor Products.
  ☆40Updated 6 years ago
• nhynes / abc
  SeqGAN but with more bells and whistles
  ☆24Updated 7 years ago
• rizar / systematic-generalization-sqoop
  Code for "Systematic Generalization: What Is Required and Can It Be Learned"
  ☆37Updated 6 years ago
• greydanus / dnc
  Differentiable Neural Computer in TensorFlow
  ☆26Updated 8 years ago
• illidanlab / rpg
  Ranking Policy Gradient
  ☆23Updated 5 years ago
• vveitch / causal-embeddings
  Code for "Using Embeddings to Correct for Unobserved Confounding"
  ☆10Updated 6 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• cmaddis / astar-sampling
  A generic Monte Carlo method based on the Gumbel-Max trick.
  ☆32Updated 9 years ago
• xiaojunxu / nsvm
  Supporting repository for ICLR 2017 paper submission.
  ☆16Updated 8 years ago
• TENGBINN / Bayes-by-Backprop
  TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
  ☆51Updated 6 years ago
• anandsaha / nips.cocob.pytorch
  PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.
  ☆37Updated 7 years ago
• AMLab-Amsterdam / SEVDL_MGP
  Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…
  ☆30Updated 5 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 3 years ago
• yaringal / keras
  ☆12Updated 7 years ago
• enalisnick / paper_summaries
  Summaries and minimal implementations of ML / statistics research articles.
  ☆39Updated 4 years ago
• akshaykgupta / SG_MCMC
  Implementation of Stochastic Gradient MCMC algorithms
  ☆41Updated 8 years ago
• nke001 / sparse_attentive_backtracking_release
  Code for our paper "Sparse Attentive Backtracking: Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding" https://p…
  ☆39Updated 6 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 6 years ago
• dustinvtran / bayesrl
  A Python library for reinforcement learning using Bayesian approaches
  ☆54Updated 10 years ago
• edwin-de-jong / incremental-sequence-learning
  Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article
  ☆40Updated 7 years ago
• hiwonjoon / NEC
  Implementation of Neural Episodic Control in Tensorflow
  ☆27Updated 6 years ago
• jpeg729 / pytorch_bits
  ☆80Updated 7 years ago
• edouardpineau / infoCatVAE
  Github page for the preprint paper "InfoCatVAE: Representation Learning with Categorical Variational Autoencoders"
  ☆14Updated 4 years ago
• jayhack / LSTMVRAE
  Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks
  ☆55Updated 9 years ago
• vruvora / reinforcement-learning-kdd
  ☆42Updated 6 years ago
• gd-zhang / ACKTR
  Actor Critic using Kronecker-Factored Trust Region
  ☆19Updated 7 years ago
• AmazaspShumik / Mixture-Models
  Hierarchical Mixture of Experts,Mixture Density Neural Network
  ☆45Updated 8 years ago