The open source coding agent.

A generative world for general-purpose robotics & embodied AI learning.

Web-based taste sensitivity estimation

A web scrapping method to extract journal information from PubMed and Google Scholar using Python.

Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework

Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019

A curated list of awesome Jupyter projects, libraries and resources

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

Materials for Mathematical Tools for Neuroscience course at Harvard (Neurobio 212)

Convert pyproject.toml to environment.yaml

Global prediction of unreported SARS-CoV2 infection from observed COVID-19 cases

Julia code to evaluate SIR models

A python package for inferring psychological embeddings.

Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats

Dash Single Page Application (SPA) Framework

Model fitting toolbox for the Brian 2 simulator

A curated list of awesome neuroscience libraries, software and any content related to the domain.

Its like Tinder, for Brains!

An Extension for the Interactive development of Dash apps in JupyterLab

A high level cheminformatics package for the Scientific Python stack, built on RDKit.

The ReScience journal. Reproducible Science is Good. Replicated Science is better.

Easy to use test framework for Jupyter Notebooks

Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead

a Python machine learning library for neurophysiology data

Bayesian Additive Regression Trees For Python

code from Piantadosi (2018)