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Starred repositories
constrained nonlinear optimization for scientific machine learning, UQ, and AI
ClickHouse® is a real-time analytics database management system
🔎 Open source distributed and RESTful search engine.
A Julia package for creating publication-ready tables in HTML, docx, LaTeX and Typst
A markup-based typesetting system that is powerful and easy to learn.
A Python package to assess and improve fairness of machine learning models.
Open Targets python framework for post-GWAS analysis
A tool to create visual HTML reports from collections of CSV/TSV tables
This repository provides a set of Python functions to simplify working with gnomAD Hail Tables. It includes tools for data access, filtering, and analysis.
🤖 A Python library for learning and evaluating knowledge graph embeddings
Analyses conducting GWAS across the UKBB diverse superpopulations
Buckaroo - The data table UI for Notebooks. Quickly explore dataframes, scroll through dataframes, search, sort, view summary stats and histograms. Works with Pandas, Polars, Jupyter, Marimo, VSCod…
some small helpers used in many scripts - Liux, osX, Windows and WINE Build
A minimalist tree plotting library using toyplot graphs
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
fast sample-swap and relatedness checks on BAMs/CRAMs/VCFs/GVCFs... "like damn that is one smart wine guy"
genotype :: ped correspondence check, ancestry check, sex check. directly, quickly on VCF
Multi-sample genome coverage viewer to observe large, coverage-based anomalies alongside annotations and sample metadata
GenoTools: Advanced Genotype Data Analysis A robust suite for processing genotype data, offering genotype calling (.idat to PLINK), comprehensive sample/variant QC, and ancestry estimation. Ideal f…
simplejson is a simple, fast, extensible JSON encoder/decoder for Python
Real-time stream processing for python
torch-molecule is a deep learning package for molecular discovery, designed with an sklearn-style interface for property prediction, inverse design and representation learning.
Fine-mapping with infinitesimal effects