Machine Learning in R
- machine-learning
- data-science
- tuning
- cran
Repository Index
63,269 visible repositories in the index
49–72 of 106 · Most stars
rsatool can be used to calculate RSA and RSA-CRT parameters
Hyper-parameter optimization for sklearn
Hyperparameter Experiments with TensorFlow and Keras
- deep-learning
- keras
- keras-tensorflow
- hyperparameter-optimization
The Polygon Mesh Processing Library
- mesh-processing
- geometry-processing
- polygon-mesh
- triangle-mesh
bUnit is a testing library for Blazor components that make tests look, feel, and runs like regular unit tests. bUnit makes it easy to render and control a component under test’s life-cycle, pass parameter and inject services into it, trigger event handlers, and verify the rendered markup from the component using a built-in semantic HTML comparer.
- razor-components
- unit-testing
- blazor
- blazor-components
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
- bayesian-optimization
- bayesian-optimisation
- hyperparameter-optimization
- hyperparameter-tuning
An autoML framework & toolkit for machine learning on graphs.
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
- ros-kinetic
- camera-calibration
- lidar-camera-calibration
- point-cloud
Calibrate the extrinsic parameters between Livox LiDAR and camera
AGCircularPicker is helpful component for creating a controller aimed to manage any calculated parameter
- circular
- picker
- pickerview
- clockpicker
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
- pipeline
- pipeline-framework
- machine-learning
- deep-learning
A simple to use, composable, command line parser for C++ 11 and beyond
- cpp
- cpp11
- cpp14
- cpp17
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.
iOS routing done right. Handles both URL recognition and controller displaying with parsed parameters. All in one line, controller stack preserved automatically!
🔻 Dropdown Menu for iOS with many customizable parameters to suit any needs
- dropdown
- dropdowns
- dropdownmenu
- dropdown-menus
A macro to define clojure functions with parameter pattern matching just like erlang or elixir.
- clojure
- defun
- pattern-matching
- clojure-functions
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
- python
- pytorch
- machine-learning
- deep-learning
Naive-N0.5-Flash is an open-weight 309B MoE model with 15.5B active parameters, built for coding and AI R&D.
optimization routines for hyperparameter tuning
Set of support modules for Java 8 datatypes (Optionals, date/time) and features (parameter names)
- jackson
- hacktoberfest
- java-date
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Easy parameters validation/casting with Ecto.Schema, akin to Rails' strong parameters.
AutoParams is a versatile test data generator designed for parameterized tests in Java and Kotlin.
- unit-testing
- tdd
- junit5
- java