Deep Learning for humans

scikit-learn: machine learning in Python

The simplest, fastest repository for training/finetuning medium-sized GPTs.

An open source multi-tool for exploring and publishing data

pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.

AlphaFold 3 inference pipeline.

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

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

Hidden Markov Models in Python, with scikit-learn like API

A Hyperparameter Tuning Library for Keras

Graph Neural Networks with Keras and Tensorflow 2.

PyTorch Tutorials from my YouTube channel

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.

A unified multi-task time series model.

Python Image Sequence: Load video and sequential images in many formats with a simple, consistent interface.

This Snakemake pipeline implements the GATK best-practices workflow

We turn natural language descriptions of behaviors into machine-executable code

Variational Animal Motion Embedding - A tool for time series embedding and clustering

A Python package for building Bayesian models with TensorFlow or PyTorch

Aggregate multiple tensorboard runs to new summary or csv files

Repository of the ICML 2020 paper "Set Functions for Time Series"

A Simple Python 3D Graphics Engine extension for Pyglet, Psychopy, and PyGame.

Protein structure datasets for machine learning.

Visualization of electronic medical records or other sequence event data.

Deep learning for single-cell transcript counts

Time Series Change Point Detection based on Contrastive Predictive Coding

Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Supervised training supported. Easily extendable with other ty…