Alternatives and similar repositories for feedback_alignment

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

• anokland / dfa-torch
  Training neural networks with back-prop, feedback-alignment and direct feedback-alignment
  ☆103Updated 7 years ago
• xuexue / randombp
  Demo: Slightly More Bio-Plausible Backprop
  ☆21Updated 8 years ago
• petered / spiking-mlp
  A Spiking Multi-Layer Perceptron
  ☆33Updated 7 years ago
• donghyunlee / dtp
  ☆36Updated 10 years ago
• lightonai / principled-dfa-training
  Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).
  ☆21Updated 5 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆37Updated last year
• iacolippo / Direct-Feedback-Alignment
  Experiments with Direct Feedback Alignment training scheme for DNNs
  ☆32Updated 8 years ago
• hantek / BinaryConnect
  Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016
  ☆81Updated 9 years ago
• Qwlouse / Binding
  Code for the "Binding via Reconstruction Clustering" paper
  ☆21Updated 9 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• bscellier / Towards-a-Biologically-Plausible-Backprop
  ☆114Updated last year
• vyraun / DNI-tensorflow
  DNI (Decoupled Neural Interfaces using Synthetic Gradients) Implementation with Tensorflow.
  ☆28Updated 7 years ago
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆46Updated 6 years ago
• raphaelholca / hebbianCNN
  Convolutional deep neural network with biology-inspired learning rule (Hebbian and reward-based learning)
  ☆50Updated 7 years ago
• vfleaking / rnnprop
  RNNprop
  ☆36Updated 8 years ago
• Kaixhin / nninit
  Weight initialisation schemes for Torch7 neural network modules
  ☆100Updated 7 years ago
• csc2541-f17 / csc2541-f17.github.io
  ☆12Updated 7 years ago
• yaroslavvb / imperative
  imperative programming in TensorFlow
  ☆18Updated 8 years ago
• tonywu95 / eval_gen
  Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"
  ☆130Updated 7 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 9 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…
  ☆38Updated 7 years ago
• koz4k / dni-pytorch
  Decoupled Neural Interfaces using Synthetic Gradients for PyTorch
  ☆237Updated 6 years ago
• jbornschein / reweighted-ws
  Implementation of the reweighted wake-sleep machine learning algorithm
  ☆41Updated 8 years ago
• kbullaughey / dni-synthetic-gradients
  Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.
  ☆43Updated 8 years ago
• synpon / prog_nn
  A Quick and Dirty Progressive Neural Network written in TensorFlow.
  ☆52Updated 6 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• pascanur / trainingRNNs
  ☆86Updated 11 years ago
• ermongroup / Generalized-PixelVAE
  PixelVAE with or without regularization
  ☆66Updated 7 years ago
• ucla-vision / parle
  ☆38Updated 7 years ago
• ThomasMiconi / BOHP_RNN
  Backprop training of recurrent neural networks with Hebbian plastic connections
  ☆20Updated 3 years ago