Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
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Mar 28, 2023 - Python
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local-learning
Here are 24 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
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Jun 26, 2026 - Python
A lightweight and flexible framework for Hebbian learning in PyTorch.
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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
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Jun 26, 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
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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
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Mar 24, 2023 - Python
Deep Spiking Reinforcement Learning
reinforcement-learning deep-reinforcement-learning spiking-neural-networks local-learning surrogate-gradients r-stdp
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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
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Jun 27, 2025 - 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
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Nov 29, 2023 - Python
Github page for SSDFA
hardware-acceleration backpropagation feedback-alignment sparse-neural-networks bio-plausible-algorithms local-learning
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Jan 28, 2020 - Python
A Computational Substrate for Self-Organizing Biologically-Plausible AI
mnist spiking-neural-networks neuromorphic hebbian-learning stdp local-learning biologically-plausible neuroai
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May 21, 2026 - Python
PyTorch implementation of the paper "Scaling Supervised Local Learning with Augmented Auxiliary Networks"
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Feb 23, 2024 - 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
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May 13, 2026 - Jupyter Notebook
[TMLR] S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
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Feb 14, 2025 - Python
[IJCNN] TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks
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Apr 8, 2026 - Python
[WACV] LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization
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Mar 12, 2025 - Python
A bio-inspired analog compute substrate that learns on-chip — online, local, and forward-only. Weights live as analog charge on capacitors (compute-in-memory); an unsupervised forward-only front (SCFF) does ~80% of the work, a small gradient-descent namer the rest. A chip-design bet, not an ML model.
research bio-inspired neuromorphic-computing continual-learning catastrophic-forgetting self-supervised-learning analog-computing local-learning in-memory-computing forward-forward compute-in-memory on-chip-learning
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Jun 25, 2026 - Python
A predictive coding neural network to learn invariant representations from short video clips
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Jul 22, 2023 - Python
A PyTorch implementation for the paper Deep Spike Learning with Local Classifiers
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Sep 24, 2022 - Python
A generative neural network with two streams to recognize externally generated optic flow
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May 22, 2024 - Python
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