local-learning
There are 17 repositories under local-learning topic.
loeweX/Greedy_InfoMax
Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
NACLab/ngc-learn
NGC-Learn: Neurobiological Systems Design and Simulation in Python
julestalloen/pytorch-hebbian
A lightweight and flexible framework for Hebbian learning in PyTorch.
ago109/predictive-forward-forward
Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
amassivek/signalpropagation
Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)
thebuckleylab/jpc
Flexible Inference for Predictive Coding Networks in JAX.
mahmoudakl/dsrl
Deep Spiking Reinforcement Learning
bcrafton/ssdfa
Github page for SSDFA
AnkurMali/ContinualPTNCN
We introduce Local recurrent Predictive coding model termed as Parallel temporal Neural Coding Network. Unlike classical RNNs, our model is pure local and doesn't require computing gradients backward in time; thus computationally more efficient compared to BPTT and can be used for online learning
mapolinario94/S-TLLR
[TMLR] S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
mapolinario94/LLS-DNN
[WACV] LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization
Razumovskyy/NN_connectivity_vs_entropy
Programming coverage of the results presented in "Connectivity versus Entropy" by Y.S. Abu-Mostafa, 1988
ChenxiangMA/deep_spike_learning_with_local_classifiers
A PyTorch implementation for the paper Deep Spike Learning with Local Classifiers
matthias-brucklacher/PCInvariance
A predictive coding neural network to learn invariant representations from short video clips
francesco-innocenti/pc-saddles
Code for NeurIPS 2024 paper "Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?"
mapolinario94/S-TLLR-OpticalFlow
[TMLR] S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks (Event-based Optical Flow experiments)
matthias-brucklacher/LearningMotorFeedback
A generative neural network with two streams to recognize externally generated optic flow