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47,133 repositories indexed
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Count your code, quickly.
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...
AI Toolkit for Healthcare Imaging
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.
QuTiP: Quantum Toolbox in Python
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
Deep probabilistic analysis of single-cell and spatial omics data
Open Babel is a chemical toolbox designed to speak the many languages of chemical data.
A research toolkit for particle swarm optimization in Python
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Development tool for CAN bus simulation
2D/3D geometry toolkit for Clojure/Clojurescript
Public/backup repository of the GROMACS molecular simulation toolkit. Please do not mine the metadata blindly; we use https://gitlab.com/gromacs/gromacs for code review and issue tracking.
C library for high-throughput sequencing data formats
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
:1234: Bits, bytes and general-purpose calculator
C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings
Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
A tool for semi-automatic cell type classification
open source software for bidimensional and tridimensional remeshing