amassivek / signalpropagationLinks
Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)
☆56Updated 2 years ago
Alternatives and similar repositories for signalpropagation
Users that are interested in signalpropagation are comparing it to the libraries listed below
Sorting:
- Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurren…☆60Updated 2 years ago
- Reimplementation of Geoffrey Hinton's Forward-Forward Algorithm☆156Updated last year
- Example of Dense Associative Memory training on MNIST☆39Updated 2 years ago
- ☆303Updated 9 months ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆161Updated 4 years ago
- NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python☆162Updated this week
- Spyx: Spiking Neural Networks in JAX☆125Updated 11 months ago
- ☆86Updated last year
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆90Updated last year
- Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch☆113Updated 2 years ago
- A repository for log-time feedforward networks☆222Updated last year
- Unofficial implementation of Linear Recurrent Units, by Deepmind, in Pytorch☆71Updated 5 months ago
- This repository contains the code for the paper "Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropag…☆131Updated last year
- ☆41Updated 3 years ago
- Neurons learn by predicting future activity☆29Updated 3 years ago
- Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures☆330Updated 3 months ago
- Predictive Coding JAX-based library☆81Updated 5 months ago
- Code for NEMO, and Assembly Calculus☆106Updated 10 months ago
- Easy Hypernetworks in Pytorch and Jax☆105Updated 2 years ago
- Spiking neural networks in JAX with equinox.☆27Updated last year
- Implementation of Block Recurrent Transformer - Pytorch☆221Updated last year
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆51Updated last year
- Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021☆158Updated 3 years ago
- Non official implementation of the Linear Recurrent Unit (LRU, Orvieto et al. 2023)☆57Updated last month
- ☆29Updated 3 years ago
- Hierarchical Associative Memory User Experience☆104Updated 2 months ago
- ☆14Updated 4 years ago
- Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.☆28Updated last year
- Implementation of "SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks"☆852Updated 2 months ago
- Deep learning for spiking neural networks☆69Updated last year