A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`

Schema.org - schemas and supporting software

3D force-directed graph component using ThreeJS/WebGL

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

The official sources for the RDKit library

A collaboratively written review paper on deep learning, genomics, and precision medicine

Save SVGs as PNGs from the browser.

Definition and DDLs for the OMOP Common Data Model (CDM)

Get protein embeddings from protein sequences

Cell types enrichment analysis

An R package to test for batch effects in high-dimensional single-cell RNA sequencing data.

Exploring dimension-reduced embeddings

scLVM is a modelling framework for single-cell RNA-seq data that can be used to dissect the observed heterogeneity into different sources, thereby allowing for the correction of confounding sources…

This contains the dataset for comparing scRNA-seq analysis methods

R package for genomic feature analysis and visualization

CCD web application.