Meshtastic SDR Analyzer & Desktop GUI. A tool to analyze the meshtastic network graphically with a simple sdr.

Astronomy and astrophysics core library

LoRa chip into a coherent linear-FM chirp generator

Coherent data acquisition signal processing chain for multichannel SDRs

RTL-SDR library written in Rust

Cross-Platform SDR Software

Software defined radio receiver powered by GNU Radio and Qt.

High-Performance Engine for Multi-Vector Search

Code accompanying our blog post on a stronger docking baseline for Alpha Fold 3 docking

Baseline models for the antiviral competition hosted by Polaris, ASAP, and OpenADMET

Claude Code skill for setting up Python projects with modern tooling (uv, pytest, ruff, pre-commit)

Deep learning for molecules and materials book

Official codebase for "A Single Architecture for Representing Invariance Under Any Space Group"

CryoBoltz code for protein structure prediction with cryo-EM guidance. NeurIPS 2025.

Intuitive guide to multi-omics integration with toy examples: supervised latent components (DIABLO), unsupervised shared/partial/unique structure (DIVAS), VAEs/conditional VAEs, and key baselines (…

Parametric differentiable curves with PyTorch for continuous embeddings, shape-restricted models, or KANs

Arc Virtual Cell Atlas

Stack is a single-cell foundation model that enables in-context learning at inference time.

A Reproduction of GDM's Nested Learning Paper

Learn single-cell dynamics using neural differential equations

InstaPrism is an R package for fast implementation of BayesPrism

Deep Learning based cell composition analysis with Scaden.

A unified interface to immune deconvolution methods (CIBERSORT, EPIC, quanTIseq, TIMER, xCell, MCPcounter) and mouse deconvolution methods

ASCAT R package

Pipelines to evaluate Breast Cancer Purity Score and to correct sampling bias

Code and data for automatic body composition assessment.

Dlup are the Deep Learning Utilities for Pathology developed at the Netherlands Cancer Institute

Repo for data preparation, extracting features from radimages. Adapt to marugoto attention MIL and the features are in h5