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Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.

RandomX, KawPow, CryptoNight and GhostRider unified CPU/GPU miner and RandomX benchmark

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Godot engine addon to randomly fill an area with props or other scenes. Mirror of https://codeberg.org/hungryproton/proton_scatter

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.

LibTomCrypt is a fairly comprehensive, modular and portable cryptographic toolkit that provides developers with a vast array of well known published block ciphers, one-way hash functions, chaining modes, pseudo-random number generators, public key cryptography and a plethora of other routines.

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

  • bayesian-optimization
  • bayesian-optimisation
  • hyperparameter-optimization
  • hyperparameter-tuning