isapome / BrainPropLinks
BrainProp: How the brain can implement reward-based error backpropagation
☆16Updated 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 9 months ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆35Updated 5 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆39Updated 2 years ago
- ☆28Updated 6 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated last month
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆158Updated 4 years ago
- Deep Learning without Weight Transport☆36Updated 5 years ago
- Convolutional Neural Tangent Kernel☆113Updated 5 years ago
- PyTorch implementation of FIM and empirical FIM☆61Updated 7 years ago
- ☆67Updated 6 years ago
- Repository for VOneNet models☆116Updated 7 months ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆107Updated last year
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆89Updated 3 years ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆176Updated 5 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆72Updated 9 years ago
- Code for the intrinsic dimensionality estimate of data representations☆83Updated 5 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 years ago
- NTK reading group☆87Updated 5 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆125Updated last year
- ☆133Updated 4 years ago
- pyhessian is a TensorFlow module which can be used to estimate Hessian matrices☆24Updated 4 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- Neural network verification in JAX☆145Updated last year
- Limitations of the Empirical Fisher Approximation☆47Updated 5 months ago