A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Genome modeling and design across all domains of life

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

A Haskell kernel for the Jupyter project.

FMA: A Dataset For Music Analysis

Biological foundation modeling from molecular to genome scale

Foundation Models for Genomics & Transcriptomics

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI

DeepSurv is a deep learning approach to survival analysis.

Genomic Pre-trained Network

Bias factorized, base-resolution deep learning models of chromatin accessibility (chromBPNet)

A modular framework for multimodal cross-cell-type transcriptional regulation models

accurate prediction of promoter activity and variant effects from massive parallel reporter assays

A pipeline to build similarity maps of protein space

Contains the code from "Learning the Sequence Determinants of Alternative Splicing from Millions of Random Sequences"

Analyses related to the Borzoi paper.

Implementation of SpliceAI, Illumina's deep neural network to predict variant effects on splicing, in PyTorch.

A deep learning approach to predicting transcription initiation from sequence at single nucleotide resolution

A collection of Jupyter notebooks.