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25 search results found

Awesome Quantum Machine Learning ⭐ 2,206

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Hyperparameter_hunter ⭐ 635

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

🎯 A comprehensive gradient-free optimization framework written in Python

Learningx ⭐ 213

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

Implementations of classic Machine Learning algorithms

Sgdlibrary ⭐ 181

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

Riemannian stochastic optimization algorithms: Version 1.0.3

Csmath 2022 ⭐ 39

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju

A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)

Gdlibrary ⭐ 27

Matlab library for gradient descent algorithms: Version 1.0.1

Sparsegdlibrary ⭐ 21

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

Event_representation_study ⭐ 21

Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.

Neuralnetwork ⭐ 17

Very basic neural network implementation.

Nips2017 ⭐ 11

Multi-Information Source Optimization

Numerical Optimization Machine Learning ⭐ 9

Codes for popular numerical optimization methods and machine learning algorithms

Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence

Simpledeepnettoolbox ⭐ 7

Simple MATLAB toolbox for deep learning network: Version 1.0.3

Machine_learning_workbench ⭐ 7

Workbench for practical machine learning in Ruby.

Classifier ⭐ 6

Machine learning code, derivatives calculation and optimization algorithms developed during the Machine Learning course at Universidade de Sao Paulo. All codes in Python, NumPy and Matplotlib with example in the end of file.

Fantasy Sports Prediction ⭐ 5

this is the repository for the project dream11. We have used our skill of machine learning along with our passion for cricket to predict the performance of players in the upcmming matches using ML Algorithms

Pareto Weighted Sum Tuning ⭐ 5

The Pareto-Weighted-Sum-Tuning utilizes Learning-to-Rank Machine Learning to help solve Pareto (Multiobjective, Multicriteria) Optimization Problems.

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