Alternatives and similar repositories for ASC

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

• dizcza / EmbedderSDR
  Embedder with binary sparse distributed representation.
  ☆19Updated 8 months ago
• TrentBrick / attention-approximates-sdm
  Code for the paper "Attention Approximates Sparse Distributed Memory"
  ☆27Updated 4 years ago
• inferno-pytorch / speedrun
  Research code need not be ugly.
  ☆77Updated 2 years ago
• ServiceNow / synbols
  The Synbols dataset generator is a ServiceNow Research project that was started at Element AI.
  ☆45Updated 2 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
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆25Updated 5 years ago
• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆168Updated 5 years ago
• fonsc / predictive-coding
  Research of a deep predictive coding model for unsupervised representation learning from video and audio data.
  ☆32Updated 6 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 6 years ago
• mlech26l / ordinary_neural_circuits
  Neuronal Circuit Policies
  ☆41Updated 3 years ago
• nmasse / Context-Dependent-Gating
  Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units
  ☆24Updated 5 years ago
• bscellier / Towards-a-Biologically-Plausible-Backprop
  ☆116Updated last year
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 8 years ago
• chenxy99 / Generative-Temporal-Models-with-Spatial-Memory
  Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"
  ☆29Updated 3 years ago
• unixpickle / sgdstore
  Augmented RNN memory via live SGD
  ☆42Updated 8 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆80Updated 2 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 6 years ago
• lrjconan / RBP
  Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
  ☆43Updated 7 years ago
• geomstats / applications
  Examples of more involved applications using Geomstats
  ☆33Updated 4 years ago
• rfeinman / pyBPL
  Python implementation of Bayesian Program Learning tools (with PyTorch)
  ☆74Updated 3 years ago
• 222464 / MiniNeoRL
  Simple, small, fully-connected Python version of NeoRL
  ☆11Updated 10 years ago
• CalculatedContent / ImplicitSelfRegularization
  Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."
  ☆47Updated 7 years ago
• rizar / systematic-generalization-sqoop
  Code for "Systematic Generalization: What Is Required and Can It Be Learned"
  ☆37Updated 6 years ago
• louiskirsch / libmodular
  A library to use modular layers in any neural network
  ☆20Updated 7 years ago
• franrruiz / uivi
  Code for Unbiased Implicit Variational Inference (UIVI)
  ☆15Updated 7 years ago
• ruiqigao / grid-cell-path
  Official code for On Path Integration of Grid Cells: Group Representation and Isotropic Scaling (NeurIPS 2021)
  ☆54Updated 4 years ago
• raphaelholca / hebbianCNN
  Convolutional deep neural network with biology-inspired learning rule (Hebbian and reward-based learning)
  ☆50Updated 8 years ago
• braincorp / PVM
  Code supporting the PVM paper
  ☆150Updated 9 years ago
• Caselles / NeurIPS19-SBDRL
  Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…
  ☆35Updated 6 years ago
• google-deepmind / abstract-reasoning-matrices
  Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillic…
  ☆182Updated 6 years ago