Alternatives and similar repositories for incremental-sequence-learning

Users that are interested in incremental-sequence-learning are comparing it to the libraries listed below

• deontologician / atari_multitask
  Atari gauntlet for RL agents
  ☆29Updated 8 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 8 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 7 years ago
• hjweide / adversarial-autoencoder
  A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
  ☆41Updated 9 years ago
• FrownyFace / DNC
  Differentiable neural computers
  ☆27Updated 8 years ago
• DeNeutoy / bayesian-rnn
  ☆62Updated 8 years ago
• DanielSlater / Net2Net
  numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641
  ☆53Updated 9 years ago
• ThomasMiconi / BOHP_RNN
  Backprop training of recurrent neural networks with Hebbian plastic connections
  ☆20Updated 4 years ago
• dirkweissenborn / mufuru
  Tensorflow Implementation of Multi-Function Recurrent Unit
  ☆23Updated 9 years ago
• jsikyoon / SequentialData-GAN
  Tensorflow Implementation of GAN modeling for sequential data
  ☆69Updated 8 years ago
• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 7 years ago
• jayhack / LSTMVRAE
  Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks
  ☆55Updated 9 years ago
• pranv / lrh
  Learning RNN Hierarchies
  ☆44Updated 9 years ago
• Avmb / lowrank-gru
  Gated Recurrent Unit with Low-rank matrix factorization
  ☆34Updated 9 years ago
• ipod825 / keraflow
  ☆29Updated 7 years ago
• synpon / prog_nn
  A Quick and Dirty Progressive Neural Network written in TensorFlow.
  ☆51Updated 7 years ago
• DeNeutoy / act-rte-inference
  ☆15Updated 8 years ago
• kefirski / bytenet
  Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper
  ☆46Updated 7 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆34Updated 9 years ago
• ChengtaoLi / dan
  Demo code for the paper ''Distributional Adversarial Networks''
  ☆19Updated 7 years ago
• ankitkv / SentimentVAE
  Deep generative model for sentiment analysis
  ☆34Updated 8 years ago
• neuralix / google_evolution
  ☆53Updated 8 years ago
• vfleaking / rnnprop
  RNNprop
  ☆36Updated 8 years ago
• mrdrozdov-github / pytorch-extras
  Some extra features for pytorch.
  ☆50Updated 8 years ago
• bheinzerling / ran
  A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)
  ☆29Updated 7 years ago
• iassael / torch-policy-gradient
  Deterministic Policy Gradient using torch7
  ☆43Updated 9 years ago
• TENGBINN / Bayes-by-Backprop
  TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
  ☆51Updated 6 years ago
• pemami4911 / awesome-hyperparams
  A curated list of awesome hyperparameters for deep learning
  ☆78Updated 7 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 8 years ago