Adcme.jlAutomatic Differentiation Library for Computational and Mathematical Engineering
Stars: ✭ 106 (-46.46%)
TeachingTeaching Materials for Dr. Waleed A. Yousef
Stars: ✭ 435 (+119.7%)
FasterSIMD for humans
Stars: ✭ 1,304 (+558.59%)
OneOn-device Neural Engine
Stars: ✭ 162 (-18.18%)
Sklearn BayesPython package for Bayesian Machine Learning with scikit-learn API
Stars: ✭ 428 (+116.16%)
PykrigeKriging Toolkit for Python
Stars: ✭ 415 (+109.6%)
Tensorrt Utils⚡ Useful scripts when using TensorRT
Stars: ✭ 136 (-31.31%)
Bda r demosBayesian Data Analysis demos for R
Stars: ✭ 409 (+106.57%)
CmaesPython library for CMA Evolution Strategy.
Stars: ✭ 88 (-55.56%)
Als CommunityReplicated and optimized community version of Advanced Locomotion System V4 for Unreal Engine 4.26 with additional bug fixes.
Stars: ✭ 389 (+96.46%)
AerosandboxAircraft design optimization made fast through modern automatic differentiation. Plug-and-play analysis tools for aerodynamics, propulsion, structures, trajectory design, and much, much more.
Stars: ✭ 193 (-2.53%)
Csso RailsCSS Optimizer(csso) ruby wrapper for Rails Asset pipeline
Stars: ✭ 86 (-56.57%)
OnelogDead simple, super fast, zero allocation and modular logger for Golang
Stars: ✭ 389 (+96.46%)
Automl alexState-of-the art Automated Machine Learning python library for Tabular Data
Stars: ✭ 132 (-33.33%)
GeorgeFast and flexible Gaussian Process regression in Python
Stars: ✭ 379 (+91.41%)
Training MaterialA collection of code examples as well as presentations for training purposes
Stars: ✭ 85 (-57.07%)
NeuraxleA Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
Stars: ✭ 377 (+90.4%)
Gpmp2Gaussian Process Motion Planner 2
Stars: ✭ 161 (-18.69%)
Awesome Wp Speed UpPlugins and resources to speed up and optimize your WordPress site.
Stars: ✭ 375 (+89.39%)
Esbuild Loader⚡️ Speed up your Webpack build with esbuild
Stars: ✭ 1,245 (+528.79%)
HypersearchHyperparameter optimization for PyTorch.
Stars: ✭ 376 (+89.9%)
Search Engine Optimization🔍 A helpful checklist/collection of Search Engine Optimization (SEO) tips and techniques.
Stars: ✭ 1,798 (+808.08%)
IfoptAn Eigen-based, light-weight C++ Interface to Nonlinear Programming Solvers (Ipopt, Snopt)
Stars: ✭ 372 (+87.88%)
CurrentC++ framework for realtime machine learning.
Stars: ✭ 81 (-59.09%)
Numpy MlMachine learning, in numpy
Stars: ✭ 11,100 (+5506.06%)
ForteDesigning generative structures by interactive sketching
Stars: ✭ 25 (-87.37%)
OrbitA Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Stars: ✭ 346 (+74.75%)
GaussianprocessesPython3 project applying Gaussian process regression for forecasting stock trends
Stars: ✭ 78 (-60.61%)
Bayestestr👻 Utilities for analyzing Bayesian models and posterior distributions
Stars: ✭ 346 (+74.75%)
SigpyPython package for signal processing, with emphasis on iterative methods
Stars: ✭ 132 (-33.33%)
BayaderaHigh-performance Bayesian Data Analysis on the GPU in Clojure
Stars: ✭ 342 (+72.73%)
Hyperlearn50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
Stars: ✭ 1,204 (+508.08%)
Ojalgooj! Algorithms
Stars: ✭ 336 (+69.7%)
BadsBayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
Stars: ✭ 159 (-19.7%)
TickModule for statistical learning, with a particular emphasis on time-dependent modelling
Stars: ✭ 326 (+64.65%)
HiopHPC solver for nonlinear optimization problems
Stars: ✭ 75 (-62.12%)
Sddp.jlStochastic Dual Dynamic Programming in Julia
Stars: ✭ 130 (-34.34%)
EmukitA Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Stars: ✭ 316 (+59.6%)
ProjpredProjection predictive variable selection
Stars: ✭ 76 (-61.62%)
PlatypusA Free and Open Source Python Library for Multiobjective Optimization
Stars: ✭ 313 (+58.08%)
Statically⚡️ The best free and fast CDN for images, CSS, JavaScript, and open source.
Stars: ✭ 299 (+51.01%)
AnglerFrequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices
Stars: ✭ 75 (-62.12%)
React Optimized ImageEasy to use React components for optimized-images-loader / next-optimized-images.
Stars: ✭ 24 (-87.88%)
AbolethA bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
Stars: ✭ 127 (-35.86%)
Rstanarmrstanarm R package for Bayesian applied regression modeling
Stars: ✭ 285 (+43.94%)
Quicknat pytorchPyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Stars: ✭ 74 (-62.63%)
OptimvizVisualize optimization algorithms in MATLAB.
Stars: ✭ 106 (-46.46%)
ErlscpErlang Supercompiler
Stars: ✭ 23 (-88.38%)
ChamaPython package for sensor placement optimization
Stars: ✭ 23 (-88.38%)
Miniboxing PluginMiniboxing is a program transformation that improves the performance of Scala generics when used with primitive types. It can speed up generic collections by factors between 1.5x and 22x, while maintaining bytecode duplication to a minimum. You can easily add miniboxing to your sbt project:
Stars: ✭ 106 (-46.46%)
Mobius AssignmentStaffjoy Suite (V1) Microservice - Shift Assignment Subject To Constraints
Stars: ✭ 23 (-88.38%)
OwlOwl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz
Stars: ✭ 919 (+364.14%)
GoptunaDecentralized hyperparameter optimization framework, inspired by Optuna.
Stars: ✭ 169 (-14.65%)
Fantasy Basketball Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.
Stars: ✭ 146 (-26.26%)
Pg stat kcacheGather statistics about physical disk access and CPU consumption done by backends.
Stars: ✭ 106 (-46.46%)