Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
-
Updated
Mar 28, 2023 - Python
#
local-learning
Here are 26 public repositories matching this topic...
NGC-Learn: Computational Neuroscience and NeuroAI in Python
python machine-learning neuroscience computational-neuroscience neural-networks cognitive-science spiking-neural-networks free-energy learning-algorithms hebbian-learning credit-assignment jax spiking-networks predictive-coding biological-neural-networks local-learning brain-inspired-computing spike-timing-dependent-plasticity predictive-processing neuroai
-
Updated
Aug 29, 2026 - Python
A lightweight and flexible framework for Hebbian learning in PyTorch.
-
Updated
Feb 29, 2024 - Python
Flexible Inference for Predictive Coding Networks in JAX.
deep-learning neural-networks ode-solver jax predictive-coding local-learning energy-based-models inference-learning hybrid-pc bidirectional-pc
-
Updated
Aug 30, 2026 - Python
Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
machine-learning tensorflow neuroscience recurrent-networks neural-networks cognitive-science learning-algorithms credit-assignment predictive-coding biological-neural-networks local-learning brain-inspired-computing forward-forward forward-learning forward-pass-learning predictive-forward-forward
-
Updated
Apr 2, 2023 - Python
Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)
machine-learning deep-learning neural-network pytorch artificial-intelligence neural-networks spiking-neural-networks learning-algorithms signal-propagation spiking-networks biological-neural-networks local-learning forward-forward forward-pass forward-learning forward-pass-learning sigprop
-
Updated
Mar 24, 2023 - Python
Deep Spiking Reinforcement Learning
reinforcement-learning deep-reinforcement-learning spiking-neural-networks local-learning surrogate-gradients r-stdp
-
Updated
Oct 28, 2023 - Python
PyTorch implementation of the paper "Spatio-Temporal Decoupled Learning for Spiking Neural Networks"
spiking-neural-networks neuromorphic-computing local-learning biologically-plausible-learning biologically-inspired-algorithm
-
Updated
Jun 27, 2025 - Python
Github page for SSDFA
hardware-acceleration backpropagation feedback-alignment sparse-neural-networks bio-plausible-algorithms local-learning
-
Updated
Jan 28, 2020 - Python
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
machine-learning numpy neuroscience recurrent-neural-networks cognitive-science language-model predictive-coding biological-neural-networks tensorflow2 local-learning brain-inspired-computing
-
Updated
Nov 29, 2023 - Python
A Computational Substrate for Self-Organizing Biologically-Plausible AI
mnist spiking-neural-networks neuromorphic hebbian-learning stdp local-learning biologically-plausible neuroai
-
Updated
Aug 1, 2026 - Python
Modular Forward-Forward Network with independent processing modules and central coordinator. CIFAR-10: 68.65%.
pytorch neural-networks cifar10 edge-ai local-learning forward-forward modular-network biologically-inspired
-
Updated
May 13, 2026 - Jupyter Notebook
PyTorch implementation of the paper "Scaling Supervised Local Learning with Augmented Auxiliary Networks"
-
Updated
Feb 23, 2024 - Python
[TMLR] S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
-
Updated
Feb 14, 2025 - Python
[WACV] LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization
-
Updated
Mar 12, 2025 - Python
[IJCNN] TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks
-
Updated
Apr 8, 2026 - Python
A predictive coding neural network to learn invariant representations from short video clips
-
Updated
Jul 22, 2023 - Python
Byte-level predictive-coding kernel that learns online from local prediction errors: no backpropagation, no attention matrix, no optimizer. Sparse fixed-fan-in synapses, slot-free distributed episodic memory, lesion-controlled reproducible experiments.
deep-learning pytorch artificial-intelligence computational-neuroscience hebbian-learning online-learning cognitive-architecture neuromorphic-computing world-models sparse-neural-networks episodic-memory predictive-coding local-learning
-
Updated
Sep 1, 2026 - Python
A PyTorch implementation for the paper Deep Spike Learning with Local Classifiers
-
Updated
Sep 24, 2022 - Python
Drift-Bounded Spectral Updates for Deep Local Learning
deep-learning pytorch gradient-free local-learning machine-learning-research neural-network-training spectral-theory backprop-free spectral-updates bio-plausible
-
Updated
Aug 26, 2026 - Python
Add this topic to your repo
To associate your repository with the local-learning topic, visit your repo's landing page and select "manage topics."