Google's Operations Research tools:
- combinatorial-optimization
- linear-programming
- operations-research
- optimization
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Google's Operations Research tools:
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
Deep probabilistic analysis of single-cell and spatial omics data
A research toolkit for particle swarm optimization in Python
C library for high-throughput sequencing data formats
:1234: Bits, bytes and general-purpose calculator
C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings
open source software for bidimensional and tridimensional remeshing
Tools for computational pathology
A dependency-free cross-platform swiss army knife for PDB files.
Benchmarking analysis of data integration tools
PyKEP is a scientific library providing basic tools for research in interplanetary trajectory design.
Universal cheminformatics toolkit, utilities and database search tools
Solve automatic numerical differentiation problems in one or more variables.
CGRs, molecules and reactions manipulation
ChemMine Tools: open source web framework for small molecule analysis
💬 Trace citation chains for any concept across research papers and render them as an interactive graph.
CLI bash script to optimize images in parallel easily and efficiently!
Translatedfractional api base on golang . golang math tools fractional molecular denominator fraction calculation numerator denominator operations
mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance
📊 Showcase your open source contributions with beautiful SVG tables. Display your merged PRs from prestigious projects.
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.
Preview Go struct field-alignment savings as a diff, not a rewrite.