Canonical Correlation Analysis, Variational CCA

Sequence modeling benchmarks and temporal convolutional networks

A dimensionality reduction framework for disentangling the flow of signals between populations of neurons

A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal populations

Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems…

Have an LLM pre-write your git commit messages

Official Implementation of POYO-1 https://poyo-brain.github.io/

Automatic dark/light mode for macOS Terminal

Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

Elephant is the Electrophysiology Analysis Toolkit

contextual feature selection for neural data

Pytorch implementation of LFADS for demo at CAN workshop

Tutorial notebooks on LFADS and NLB for NeuroDataReHack 2022

A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

Generative Manifold Network

A package for the sparse identification of nonlinear dynamical systems from data

A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interface

Bi-directional D3 component to visualize dendrograms in Streamlit

Comparing popular interactive plotting packages for Python

Interactive dendrograms using Altair, Plotly and Streamlit

pyquest: diffusion analysis of transposable arrays

InCHlib (Interactive Cluster Heatmap library)