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Conda is an open-source, [2] cross-platform, [3] language-agnostic package manager and environment management system. It was originally developed to solve package management challenges faced by Python data scientists, and today is a popular package manager for Python and R.
The optional plugins require libenchant, python and libgucharmap. [57] Building a binary is done with Automake and Autoconf to configure and set up its build environment. Both llvm and GCC can be used to compile Bluefish. On Windows, MinGW is used to build the binaries.
Cloudinary is a SaaS company providing cloud media management services for websites and apps. The company is headquartered in San Jose, California with offices in Israel , England , Poland , and Singapore .
CDN is an umbrella term spanning different types of content delivery services: video streaming, software downloads, web and mobile content acceleration, licensed/managed CDN, transparent caching, and services to measure CDN performance, load balancing, Multi CDN switching and analytics and cloud intelligence.
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
The software suite is automatically built nightly, with continuous integration and unit testing provided by Travis CI, and a build and compiling environment including the GNU cross-platform compiler and Waf. Pre-compiled binaries running on various hardware platforms are available for user download from ArduPilot's sub-websites.
The Generic Modeling Environment (GME) is a domain-specific, model-integrated program synthesis tool for creating domain-specific models of large-scale systems. GME development started in 2000 at Vanderbilt University , US and continues well into 2022.
CUDA is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements for the execution of compute kernels. [6] In addition to drivers and runtime kernels, the CUDA platform includes compilers, libraries and developer tools to help programmers accelerate their applications.