Alternatives and similar repositories for ASC

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

• mlech26l / ordinary_neural_circuits
  Neuronal Circuit Policies
  ☆40Updated 3 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 8 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆69Updated 11 years ago
• ServiceNow / synbols
  The Synbols dataset generator is a ServiceNow Research project that was started at Element AI.
  ☆45Updated 2 years ago
• bscellier / Towards-a-Biologically-Plausible-Backprop
  ☆115Updated last year
• danielkunin / Regularized-Linear-Autoencoders
  Loss Landscapes of Regularized Linear Autoencoders
  ☆146Updated 3 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 7 years ago
• rfeinman / pyBPL
  Python implementation of Bayesian Program Learning tools (with PyTorch)
  ☆74Updated 3 years ago
• inferno-pytorch / speedrun
  Research code need not be ugly.
  ☆77Updated 2 years ago
• willwx / sign-symmetry
  ☆28Updated 6 years ago
• ernoult / updatesEPgradientsBPTT
  Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)
  ☆14Updated last year
• Caselles / NeurIPS19-SBDRL
  Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…
  ☆35Updated 5 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 6 years ago
• singnet / semantic-vision
  ☆33Updated 5 years ago
• piantado / LOTlib3
  Language of thought library for python 3
  ☆50Updated last year
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated 2 years ago
• ruiqigao / grid-cell-path
  Official code for On Path Integration of Grid Cells: Group Representation and Isotropic Scaling (NeurIPS 2021)
  ☆52Updated 3 years ago
• fonsc / predictive-coding
  Research of a deep predictive coding model for unsupervised representation learning from video and audio data.
  ☆31Updated 6 years ago
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆84Updated 8 years ago
• raphaelholca / hebbianCNN
  Convolutional deep neural network with biology-inspired learning rule (Hebbian and reward-based learning)
  ☆50Updated 8 years ago
• spencerkent / resonator-networks
  An implementation of Resonator Networks
  ☆20Updated 4 years ago
• 222464 / MiniNeoRL
  Simple, small, fully-connected Python version of NeoRL
  ☆11Updated 9 years ago
• JonathanAMichaels / hebbRNN
  A Reward-Modulated Hebbian Learning Rule for Recurrent Neural Networks
  ☆34Updated 4 years ago
• jjoller / aixi
  Implementation of the Monte-Carlo CTW AIXI approximation as described by Joel Veness et al.
  ☆12Updated 8 years ago
• FutureComputing4AI / Learning-with-Holographic-Reduced-Representations
  ☆32Updated 4 years ago
• tomekkorbak / active-inference
  A toy model of Friston's active inference in Tensorflow
  ☆41Updated 8 years ago
• g-benton / hessian-eff-dim
  Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited
  ☆37Updated 2 years ago
• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆162Updated 4 years ago
• alec-tschantz / action-oriented
  Repository for "Learning action-oriented models through active inference"
  ☆12Updated 5 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…
  ☆39Updated 7 years ago