Repository Index

mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance

• qa
• mri
• neuroimaging
• niqc

UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.

• benchmark
• bioinformatics
• cheminformatics
• computational-chemistry

scPair: Boosting single cell multimodal analysis by leveraging single cell atlases and implicit feature selection

:game_die: Neutrino research

• physics
• neutrino
• neutrino-oscillations

Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).

• deep-reinforcement-learning
• generative-model
• vae
• molecule-generation

go-glmatrix is a golang version of glMatrix, which is "designed to perform vector and matrix operations stupidly fast".

• vector
• matrix
• 3d

DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.

Winner of the Golem Gitcoin Hackathon 2020 (https://blog.golemproject.net/meet-the-winners-golem-gitcoin-hackathon-2020/). This app lets people design, simulate, and analyse antenna arrays without the need to utilize commercial and expensive applications.

• golem

The repository host gives no description.

Interpretable modeling of cellular responses to drug perturbations using cycle consistence learning

Vendor-agnostic, FHIR-Genomics-aligned API contract for cross-vendor NGS interpretation. JSON Schema + TypeScript + Python pydantic.

DeepAEG: A model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies

legacy signal processing leveraging afni, ants, fsl, nipy, robex, and wavelet toolbox - brnfswdktm

• fmri-preprocessing
• fmri

Python library for statistical analysis of mRNA and protein distributions in fluorescent microscopy images

A subset of numpy for Micropython

Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.

Mutta Puffs is a sports league scheduler automated on thousands of computers from decentralized market of computational power in Golem.

Sunrise and sunset time computation for MicroPython

GNN-based gene-selection deep learning model for drug response prediction

Simulating Lorenz attractor on Golem.network

• simulation
• scipy
• lorenz-attractor