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A monitor of resources

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Seamless operability between C++11 and Python

Tensor library for machine learning

Google's Operations Research tools:

F´ - A flight software and embedded systems framework

Record and Replay Framework

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…

A Python-embedded modeling language for convex optimization problems.

cuML - RAPIDS Machine Learning Library

The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.

A large scale non-linear optimization library

C++ tensors with broadcasting and lazy computing

A date and time library based on the C++11/14/17 <chrono> header

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained …

A Python package for manipulating 2-dimensional tabular data structures

Patterns and behaviors for GPU computing

COIN-OR Interior Point Optimizer IPOPT

A global, black box optimization engine for real world metric optimization.

🔍 🐍 Like pstack but for Python!

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

A header-only C++ library for large scale eigenvalue problems

C++/CUDA/OpenMP based Smoothed Particle Hydrodynamics (SPH) Solver

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.

Probabilistic modelling and uncertainty quantification library