Alternatives and similar repositories for dtp:

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

• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 7 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 8 years ago
• arayabrain / FewshotClassifier
  Code for the blog post on few-shot classification via task representation and communication.
  ☆18Updated 7 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆72Updated 8 years ago
• pierrelux / rlss2017
  ☆17Updated 7 years ago
• Qwlouse / Binding
  Code for the "Binding via Reconstruction Clustering" paper
  ☆21Updated 9 years ago
• YixuanLi / convergent_learning
  Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
  ☆86Updated 8 years ago
• google-deepmind / mnist-cluttered
  Cluttered MNIST Dataset
  ☆51Updated 10 years ago
• shreyassaxena / convolutional-neural-fabrics
  Architecture learning for CNN's
  ☆37Updated 8 years ago
• yuandong-tian / ICML17_ReLU
  ☆29Updated 7 years ago
• anokland / dfa-torch
  Training neural networks with back-prop, feedback-alignment and direct feedback-alignment
  ☆103Updated 7 years ago
• petered / spiking-mlp
  A Spiking Multi-Layer Perceptron
  ☆33Updated 7 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• vfleaking / rnnprop
  RNNprop
  ☆36Updated 8 years ago
• bengioe / condnet
  Implementation of condnets
  ☆16Updated 9 years ago
• jbornschein / reweighted-ws
  Implementation of the reweighted wake-sleep machine learning algorithm
  ☆41Updated 8 years ago
• jhjacobsen / HierarchicalCNN
  ☆29Updated 7 years ago
• mdenil / acdc-torch
  ACDC: A Structured Efficient Linear Layer
  ☆43Updated 9 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• iassael / torch-policy-gradient
  Deterministic Policy Gradient using torch7
  ☆43Updated 8 years ago
• ThomasMiconi / LearningToLearnBOHP
  Backpropagation training of neural networks with Hebbian plastic connections
  ☆31Updated 3 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• Nat-D / SVAE-Torch
  ☆11Updated 8 years ago
• pranv / lrh
  Learning RNN Hierarchies
  ☆44Updated 8 years ago
• Kaixhin / malmo-challenge
  Malmo Collaborative AI Challenge - Team Pig Catcher
  ☆65Updated 7 years ago
• zihangdai / cegan_iclr2017
  Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"
  ☆24Updated 7 years ago
• jbornschein / bihm
  Bidirectional Helmholtz Machines
  ☆40Updated 9 years ago
• caglar / dntm
  D-NTM paper repo
  ☆25Updated 7 years ago
• jhjacobsen / RFNN
  Structured Receptive Fields in Convolutional Neural Networks
  ☆47Updated 7 years ago
• rarilurelo / tensorflow-synthetic_gradient
  ☆16Updated 8 years ago