Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
- autodiff
- deep-learning
- machine-learning
- rust
47,133 repositories indexed
1–24 of 64 · Most stars
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
A PyTorch Library for Accelerating 3D Deep Learning Research
Multiphysics Object Oriented Simulation Environment: A robust, modern, extendable, finite element/finite volume framework that excels at creating complex multiphysics simulations.
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
Deep probabilistic analysis of single-cell and spatial omics data
The repository host gives no description.
WebGL accelerated JavaScript molecular graphics library
Fast, sensitive and accurate integration of single-cell data with Harmony
Spatial Single Cell Analysis in Python
R package for detecting doublets in single-cell RNA sequencing data
A tool for semi-automatic cell type classification
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
Graph-linked unified embedding for single-cell multi-omics data integration
Reference mapping for single-cell genomics
A library designed to ease geographic coordinate format conversions, and determine sun/moon information in C#
UCE is a zero-shot foundation model for single-cell gene expression data
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
OPEM (Open Source PEM Fuel Cell Simulation Tool)
Automated 3D cell detection in very large images
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.
Probabilistic cell segmentation for in situ spatial transcriptomics