aider is AI pair programming in your terminal

MICrONS databook and analysis tutorials

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

WebGL-based viewer for volumetric data

code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)

Brian is a free, open source simulator for spiking neural networks.

Code for paper "Structured stabilization in recurrent neural circuits through inhibitory synaptic plasticity" by Dylan Festa, Claudia Cusseddu, Julijana Gjorgjieva

Modules for processing extracellular electrophysiology data from Neuropixels probes

Open-source unified multimodal model

A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021

PyTorch Implementation of Diffusion Schrodinger Bridge Matching

PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.

Meta-learning local synaptic plasticity for continual familiarity detection

Supervised learning with predictive coding (Whittington & Bogacz 2017)

[NeurIPS 2024] Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"

Minimal reproduction of DeepSeek R1-Zero

Rotary Transformer

Code for 'Credit Assignment Through Broadcasting a Global Error Vector' in NeurIPS 2021

Fast, flexible and easy to use probabilistic modelling in Python.

SAM: Sharpness-Aware Minimization (PyTorch)

Measures of distance between two probability density functions

Sampling points and doing multi-dimensional scaling in Hyperbolic space

Deep and online learning with spiking neural networks in Python