One open-source modeler for structures, heat and fluids, built from scratch in pure Rust: parametric part in, verified results out. Automatic all-hex and tet meshing, our own nonlinear implicit and explicit FEA, heat transfer and lattice Boltzmann CFD — every result checked against theory. For engineers and AI agents alike. Free, forever.
- cae
- cfd
- computational-mechanics
- explicit-dynamics
Schema and generated objects for biolink data model and upper ontology
- biolink
- monarchinitiative
- gene-ontology
- datamodel
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
- cancer-genomics
- cnv-detection
- single-cell
- phylogeny
a unified framework for modeling chemically reactive systems
- chemical-equilibrium
- chemical-kinetics
- reactive-transport
- chemical-reactions
Probabilistic cell segmentation for in situ spatial transcriptomics
Associated Repository for "Translation between Molecules and Natural Language"
The official NFFT library repository
- nfft
- fftw
- fourier-transform
- c
Python package for calculating reference/potential evapotranspiration (ETo).
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
- source-energy-balance
- canopy
- soil
- radiometric-temperatures
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
- disentanglement
- drug-discovery
- genomics
- perturbation
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
- self-attention
- compound-protein-interaction
- transformercpi
- structure-free-virtual-sreening
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
BulkFormer: A large-scale foundation model for human bulk transcriptomes
python functions for simulating optical transfer functions
👩💻 Matrix and other math, accelerated by WebGPU and WASM
Research experiments exploring uncommon quant techniques.
Lua package that includes functions for Fast Fourier Transformations.
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
MCP server for spatial transcriptomics analysis through natural language interfaces.
The repository host gives no description.
2D triangulation library. Allows translating lines and polygons (both based on points) to the language of GPUs.
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network