isapome / BrainPropLinks
BrainProp: How the brain can implement reward-based error backpropagation
☆17Updated 2 years ago
Alternatives and similar repositories for BrainProp
Users that are interested in BrainProp are comparing it to the libraries listed below
Sorting:
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 11 months ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- ☆28Updated 6 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆40Updated 2 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆37Updated 5 years ago
- PyTorch implementation of FIM and empirical FIM☆61Updated 7 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆104Updated 5 years ago
- Code for the intrinsic dimensionality estimate of data representations☆86Updated 5 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆91Updated last year
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆176Updated 5 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- NTK reading group☆87Updated 5 years ago
- Deep Learning without Weight Transport☆36Updated 6 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆131Updated 6 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated last month
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- Tools for examining the causal structure of artificial neural networks with information theory☆23Updated 5 years ago
- ☆67Updated 6 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆73Updated 9 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆147Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- Papers on interpretable deep learning, for review☆29Updated 7 years ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆162Updated 4 years ago
- PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆37Updated 3 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆141Updated 6 years ago
- Code for "Supermasks in Superposition"☆124Updated 2 years ago
- ☆17Updated 5 years ago