ernoult / targetPropLinks
Testing Difference Target Propagation (DTP) on MNIST.
☆12Updated 4 years ago
Alternatives and similar repositories for targetProp
Users that are interested in targetProp 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 10 months ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆40Updated 2 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated last year
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆49Updated 4 years 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
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- ☆14Updated 4 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆89Updated last year
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆90Updated 3 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆52Updated 4 years ago
- Deep Learning without Weight Transport☆36Updated 5 years ago
- Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units☆23Updated 4 years ago
- A PyTorch implementation of Legendre Memory Units (LMUs) and its FFT variant☆43Updated 3 years ago
- Predictive Coding JAX-based library☆81Updated 4 months ago
- Code for "Deep predictive coding network for object recognition"☆25Updated 5 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 4 years ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆160Updated 4 years ago
- Code for the intrinsic dimensionality estimate of data representations☆84Updated 5 years ago
- Neurons learn by predicting future activity☆29Updated 3 years ago
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆14Updated 4 years ago
- Code for "Deep predictive coding network with local recurrent processing for object recognition"☆30Updated last year
- "Towards Scaling Difference Target Propagation by Learning Backprop Targets" (ICML 2022)☆12Updated 2 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆123Updated 2 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆36Updated 5 years ago
- Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.☆28Updated last year
- BrainProp: How the brain can implement reward-based error backpropagation☆16Updated 2 years ago
- The HSIC Bottleneck: Deep Learning without Back-Propagation☆88Updated 4 years ago