Alternatives and similar repositories for pdnn:

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

• arayabrain / GenerativeControl
  Code for a generative controller for the AI Gym cartpole task
  ☆15Updated 8 years ago
• petered / spiking-mlp
  A Spiking Multi-Layer Perceptron
  ☆33Updated 7 years ago
• donghyunlee / dtp
  ☆36Updated 9 years ago
• bscellier / Towards-a-Biologically-Plausible-Backprop
  ☆112Updated last year
• jhjacobsen / HierarchicalCNN
  ☆29Updated 7 years ago
• iassael / torch-e2c
  Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆42Updated 9 years ago
• petered / sigma-delta
  Contains Code for our Sigma-Delta Nets Paper
  ☆10Updated 8 years ago
• ThomasMiconi / LearningToLearnBOHP
  Backpropagation training of neural networks with Hebbian plastic connections
  ☆31Updated 3 years ago
• Qwlouse / Binding
  Code for the "Binding via Reconstruction Clustering" paper
  ☆21Updated 9 years ago
• rarilurelo / tensorflow-synthetic_gradient
  ☆16Updated 8 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• kumar-shridhar / ProbAct-Probabilistic-Activation-Function
  Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.
  ☆13Updated 5 years ago
• neuroailab / Neural-Alignment
  ☆24Updated 4 years ago
• caglar / dntm
  D-NTM paper repo
  ☆25Updated 7 years ago
• jacobandreas / rnn-syn
  Analogs of Linguistic Structure in Deep Representations
  ☆19Updated 7 years ago
• roosephu / needle
  some RL algorithms
  ☆19Updated 8 years ago
• roozbehm / newtonian
  ☆32Updated 8 years ago
• joelouismarino / amortized-variational-filtering
  PyTorch implementation of AVF
  ☆45Updated 4 years ago
• arayabrain / FewshotClassifier
  Code for the blog post on few-shot classification via task representation and communication.
  ☆18Updated 7 years ago
• renmengye / meta-optim-public
  Understanding Short-Horizon Bias in Stochastic Meta-Optimization
  ☆37Updated 7 years ago
• ethanwharris / STAWM
  Code for the paper 'A Biologically Inspired Visual Working Memory for Deep Networks'
  ☆21Updated 5 years ago
• google-deepmind / dynamic-kanerva-machines
  This is a self-contained memory module for the Dynamic Kanerva Machine, as reported in the NIPS 2018 paper: Learning Attractor Dynamics f…
  ☆43Updated 6 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated last year
• pierrelux / rlss2017
  ☆17Updated 7 years ago
• DeNeutoy / act-rte-inference
  ☆15Updated 8 years ago
• rfeinman / learning-to-learn
  Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
  ☆21Updated 6 years ago
• clementfarabet / lua---mattorch
  An interface between Torch and Matlab
  ☆30Updated 9 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 6 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆46Updated 7 years ago
• ixaxaar / pytorch-sublstm
  subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks
  ☆16Updated 7 years ago