local non-uniformity correction for mutual information estimation

The standardised environment for the hippocampus and entorhinal cortex models

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

Intelligent automation and multi-agent orchestration for Claude Code

Bayesian entropy estimation in Python - via the Nemenman-Schafee-Bialek algorithm

simulate rat vision through 3D rendering using Blender, raycasting with NumPy (1,000 FPS on CPU), or Torch (50,000 FPS on GPU)

DeepCAD: Deep self-supervised learning for calcium imaging denoising

DeepCAD-RT: Real-time denoising of fluorescence time-lapse imaging using deep self-supervised learning

Centered Dirichlet Mixture entropy estimator for binary data

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

Code Repository for Liquid Time-Constant Networks (LTCs)

EXTRACT is a tractable and robust automated cell extraction tool for calcium imaging, which extracts the activities of cells as time series from both one-photon and two-photon calcium imaging movies.

Calibrated inference of spiking from calcium ΔF/F data using deep networks

Discrete entropy estimator using the Pitman-Yor mixture (PYM) prior

A launch point for your personal nvim configuration

Deconvolution of calcium imaging data

An algorithm for unsupervised discovery of sequential structure

Normalisation technique for information-theoretic quantities using Null Models for Information Theory

Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.

MacOS inside a Docker container.

Foundation Models for Genomics & Transcriptomics

The GitHub Repo for the hands-on session at NLDL entitled "Tutorial: Innovative Uses of Synthetic Data Tutorial".