Stars
A colab-style tutorial on neuro-reinforcement learning
A domain specific language for neuron and synapse models in spiking neural network simulation
Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
Code to accompany the textbook "Modeling Neural Circuits Made Simple"
A customisable 3D platform for agent-based AI research
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
Some notebooks and code to help people get started with understanding successor representations using both discrete states and continuous features
Code for "A functional model of adult dentate gyrus neurogenesis", Gozel and Gerstner (eLife, 2021)
A regularization algorithm inspired by neurogenic processes in the brain.
A reusable framework for successor features for transfer in deep reinforcement learning using keras.
Restricted Boltzmann Machines in Python.
List of papers studying machine learning through the lens of category theory
Relational Neurogenesis is a framework that supports neuroevolutionary mechanisms in deep reinforcement learning networks to enhance lifelong learning capabilities
Implementation of Nougat Neural Optical Understanding for Academic Documents
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
Various handy scripts to quickly setup new Linux and Windows sandboxes, containers and WSL.
LangChain powered shell command generator and runner CLI
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Code for the paper "Next Generation Reservoir Computing"