hebbian-evolution | Python Ecosystem Directory

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Interpretable neural spike train models with fully-Bayesian inference algorithms

A library that makes Evolutionary Strategies (ES) simple to use.

Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-...

Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebb...

Experiments on meta-learning algorithms to solve few-shot domain adaptation

Replicated Focusing Belief Propagation algorithm

Official repository of ”Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-...

Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcem...

Code for Kernel Adaptive Metropolis-Hastings

Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https:...

Official repository of Evolutionary Optimization of Model Merging Recipes