Alternatives and similar repositories for towards-bio-plausible-conv

Users that are interested in towards-bio-plausible-conv are comparing it to the libraries listed below

• meulemansalex / theoretical_framework_for_target_propagation
  Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation
  ☆32Updated 9 months ago
• ykubo82 / bioCHL
  Neurons learn by predicting future activity
  ☆29Updated 3 years ago
• ThomasMiconi / HebbianCNNPyTorch
  Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients
  ☆39Updated 2 years ago
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆35Updated 5 years ago
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆59Updated last year
• EPFL-LCN / pub-illing2021-neurips
  Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…
  ☆24Updated last year
• liukidar / pcx
  Predictive Coding JAX-based library
  ☆77Updated 3 months ago
• Laborieux-Axel / holomorphic_eqprop
  Repository to reproduce the results of the paper "Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscill…
  ☆9Updated 9 months ago
• ernoult / updatesEPgradientsBPTT
  Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)
  ☆14Updated last year
• tk-rusch / coRNN
  Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
  ☆46Updated 3 years ago
• dimarkov / bmr4pml
  Bayesian model reduction for probabilistic machine learning
  ☆11Updated last month
• lgresele / independent-mechanism-analysis
  Code for the paper: "Independent mechanism analysis, a new concept?"
  ☆24Updated 2 years ago
• BerenMillidge / Theory_Associative_Memory
  repo for code for paper on general theory associative memory models
  ☆20Updated 3 years ago
• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆158Updated 4 years ago
• RobertRosenbaum / Torch2PC
  Software for using predictive coding algorithms to train PyTorch models.
  ☆25Updated last year
• IGITUGraz / L2L
  Learning to Learn: Gradient-free Optimization framework
  ☆36Updated 4 years ago
• NeuromorphicComputing / SoftHebb
  ☆81Updated last year
• apayeur / spikingburstprop
  Auryn-based simulation of multiplexing and burst-dependent plasticity
  ☆23Updated 4 years ago
• enajx / HyperNCA
  ☆39Updated 3 years ago
• vicariousinc / naturecomm_cscg
  ☆41Updated 2 years ago
• alec-tschantz / predcoding
  A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)
  ☆18Updated 5 years ago
• kozleo / Building_Transformers_from_Neurons_and_Astrocytes
  Two self-contained notebooks to perform "weight transformer" from pretrained Transformer model to neuron-astrocyte network.
  ☆23Updated 2 years ago
• DimaKrotov / Dense_Associative_Memory
  Example of Dense Associative Memory training on MNIST
  ☆38Updated 2 years ago
• hadivafaii / IterativeVAE
  Brain-like variational inference
  ☆55Updated 2 months ago
• rpatrik96 / ima-vae
  This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…
  ☆23Updated last year
• L0SG / feedback-alignment-pytorch
  Implementation of feedback alignment learning in PyTorch
  ☆31Updated 2 years ago
• jsalbert / biotorch
  BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms
  ☆51Updated last year
• mackelab / LDNS
  ☆19Updated 8 months ago
• NACLab / ngc-learn
  NGC-Learn: Neurobiological Systems Design and Simulation in Python
  ☆155Updated last week
• ejmichaud / grokking-squared
  ☆26Updated 2 years ago