Ecosyste.ms: Awesome

https://github.com/casparwylie/Perceptron

A flexible artificial neural network builder to analyse performance, and optimise the best model.

artificial-intelligence artificial-neural-network machine-learning machine-learning-algorithms neural-network opencv python tkinter

Last synced: 03 Jul 2024

https://github.com/neonwatty/machine_learning_refined

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

artificial-intelligence autograd collab data-science deep-learning jax jupyter-notebook lecture-notes machine-learning machine-learning-algorithms mathematical-optimization neural-network numpy python slides

Last synced: 02 Jul 2024

https://github.com/starling-lab/BoostSRL

BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

artificial-intelligence machine-learning machine-learning-algorithms pattern-classification statistical-learning

Last synced: 02 Jul 2024

https://github.com/aslanides/aixijs

AIXIjs - General Reinforcement Learning in the Browser

artificial-general-intelligence demo javascript machine-learning-algorithms reinforcement-learning

Last synced: 01 Jul 2024

https://github.com/bsharchilev/influence_boosting

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

catboost gradient-boosting influence-functions machine-learning machine-learning-algorithms paper python

Last synced: 30 Jun 2024

https://github.com/MLReef/mlreef

The collaboration workspace for Machine Learning

artificial-intelligence data-science deep-learning deeplearning machine-learning machine-learning-algorithms mlops mlops-environment models mxnet pytorch reproducibility tensorflow

Last synced: 29 Jun 2024

https://cosmic-cortex.github.io/modAL

A modular active learning framework for Python

active-learning active-learning-module bayesian-optimization machine-learning machine-learning-algorithms machine-learning-api machine-learning-library python scikit-learn

Last synced: 29 Jun 2024

https://github.com/javascript-machine-learning/svm-spam-classifier-javascript

🍃 Spam Classifier with Data Preparation and Support Vector Machine (SVM)

javascript machine-learning machine-learning-algorithms support-vector-machine support-vector-machines svm svm-classifier svm-learning svm-library svm-model svm-training

Last synced: 27 Jun 2024

https://github.com/openscilab/pymilo

PyMilo: Python for ML I/O

artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks deep-learning deserialization devops devops-tools machine-learning machine-learning-algorithms ml ml-models-export ml-models-import mlops scikit-learn serialization

Last synced: 26 Jun 2024

https://github.com/yunshuipiao/SWBlog

machine learning practitioner， android and python

ai-first machine-learning-algorithms python sklean tensorflow

Last synced: 26 Jun 2024

https://github.com/ragulpr/wtte-rnn

WTTE-RNN a framework for churn and time to event prediction

churn-prediction failure-rate keras machine-learning-algorithms neural-network rnn tensorflow weibull

Last synced: 24 Jun 2024

https://github.com/magnusax/AutoML

The project aims to develop a customized ML framework on top of existing libraries

data-science machine-learning machine-learning-algorithms machine-learning-library python scikit-learn

Last synced: 24 Jun 2024

https://github.com/nitishkthakur/automlib

AutoML Python package with ML models with builtin Hyperparameter Optimization and easy to use API.

automl automl-api hyperparameter-optimization learning machine machine-learning machine-learning-algorithms machinelearning ml optimization optimization-algorithms particle-swarm-optimization python python-3 python3 tune

Last synced: 24 Jun 2024

https://github.com/oneHuster/Meta-Learning-Papers

A classified list of meta learning papers based on realm.

deep-learning machine-learning-algorithms machine-learning-theory meta-learning statistical

Last synced: 24 Jun 2024

https://github.com/AI4Finance-Foundation/FinRL_Podracer

Cloud-native Financial Reinforcement Learning

algorithmic-trading deep-reinforcement-learning machine-learning-algorithms openai-gym pytorch quant quantitative-finance

Last synced: 23 Jun 2024

https://github.com/amzn/pecos

PECOS - Prediction for Enormous and Correlated Spaces

approximate-nearest-neighbor-search extreme-multi-label-classification extreme-multi-label-ranking machine-learning-algorithms transformers

Last synced: 23 Jun 2024

https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

imooc jupyter-notebooks machine-learning machine-learning-algorithms mooc

Last synced: 22 Jun 2024

https://github.com/RemoteML/bestofml

The best resources around Machine Learning

data-science deep-learning machine-learning machine-learning-algorithms machine-learning-tutorials paper papers

Last synced: 22 Jun 2024

https://github.com/Microsoft/EdgeML

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

bonsai classifier cpp deep-learning edge-computing edge-devices edge-machine-learning emi-rnn fastgrnn fastrnn iot-device machine-learning machine-learning-algorithms microsoft microsoft-research protonn pytorch resource-constrained-ml sensor tensorflow

Last synced: 22 Jun 2024

https://github.com/ant-research/EasyTemporalPointProcess

EasyTPP: Towards Open Benchmarking Temporal Point Processes

benchmarking machine-learning-algorithms stochastic-processes temporal-data time-series

Last synced: 22 Jun 2024

https://github.com/javascript-machine-learning/color-accessibility-neural-network-deeplearnjs

🍃 Using a Neural Network to improve web accessibility in JavaScript.

deep-learning deep-learning-tutorial deep-neural-networks deeplearnjs javascript machine-learning machine-learning-algorithms neural-network neural-network-example neural-networks

Last synced: 21 Jun 2024

https://intel.github.io/scikit-learn-intelex/

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

ai-inference ai-machine-learning ai-training analytics big-data data-analysis gpu intel machine-learning machine-learning-algorithms oneapi python scikit-learn swrepo

Last synced: 21 Jun 2024

https://github.com/HarleysZhang/cv_note

记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/

computer-vision cpp11 deep-learning interview-questions machine-learning-algorithms python3

Last synced: 21 Jun 2024

https://github.com/VidyasagarMSC/Awesome-AI

The guide to master Artificial Intelligence (machine learning & deep learning) from beginner to advance

article artificial-intelligence cheatsheet deep-learning infographics machine-learning machine-learning-algorithms mooc open-source tutorial

Last synced: 18 Jun 2024

https://github.com/ClimbsRocks/machineJS

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

auto-ml automated-machine-learning automl data-science data-scientists javascript javascript-library kaggle machine-learning machine-learning-algorithms machine-learning-library ml numerai scikit-learn

Last synced: 17 Jun 2024

https://github.com/dnissim/VBA_Cascading-Text-Classifier

A custom ML algorithm developed and implemented in VBA to classify text data.

financial-data machine-learning machine-learning-algorithms self-learning text-classification vba vba-excel vba-macros

Last synced: 17 Jun 2024

https://github.com/stephenleo/adventures-with-ann

All the code for a series of Medium articles on Approximate Nearest Neighbors

ann approximate-nearest-neighbor-search machine-learning-algorithms nearest-neighbor-search nearest-neighbors python

Last synced: 16 Jun 2024

https://github.com/aurimas13/machine-learning-goodness

The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.

algorithms artifcial-intelligence artificial-intelligence chatgpt cheatsheets computer-science data-science deep-neural-networks deep-reinforcement-learning gpt4 machine-learning machine-learning-algorithms mlops python python3 reinforcement-learning reinforcement-learning-algorithms tips tips-and-tricks

Last synced: 14 Jun 2024

https://microsoft.github.io/ML-For-Beginners/

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

data-science education machine-learning machine-learning-algorithms machinelearning machinelearning-python ml python r scikit-learn scikit-learn-python

Last synced: 12 Jun 2024

https://github.com/Dpbm/dreambooth-tutorial

Crie imagens suas usando IA de forma fácil

ai ai-image-generation deep-learning dreambooth ia images inteligencia-artificial machine-learning machine-learning-algorithms spacecoding stable-diffusion tutorial

Last synced: 12 Jun 2024

https://github.com/KeKe-Li/tutorial

Deeplearning Algorithms Tutorial

algorithms-tutorial deeplearning machine-learning-algorithms neural-network tutorial

Last synced: 11 Jun 2024

https://github.com/zotroneneis/machine_learning_basics

Plain python implementations of basic machine learning algorithms

algorithm ipynb k-nearest-neighbor k-nearest-neighbours k-nn kmeans linear-regression logistic-regression machine-learning machine-learning-algorithms neural-network neural-networks perceptron python python-implementations python3

Last synced: 11 Jun 2024

https://github.com/benedekrozemberczki/EgoSplitting

A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).

clustering community-detection community-detection-algorithm community-detection-evaluation deep-learning ego-network ego-networks fast-clustering fuzzy-clustering graph-clustering graph-clustering-algorithm igraph kdd louvain-algorithm louvain-community-detection louvain-method machine-learning machine-learning-algorithms networkx persona-graph

Last synced: 09 Jun 2024

https://github.com/aladdinpersson/Machine-Learning-Collection

A resource for learning about Machine learning & Deep Learning

machine-learning machine-learning-algorithms pytorch pytorch-examples pytorch-gan pytorch-implementation pytorch-tutorial pytorch-tutorials tensorflow-examples tensorflow-tutorials tensorflow2

Last synced: 09 Jun 2024

https://github.com/business-science/modeltime

Modeltime unlocks time series forecast models and machine learning in one framework

arima data-science deep-learning ets forecasting machine-learning machine-learning-algorithms modeltime prophet r-package tbats tidymodeling tidymodels time time-series time-series-analysis timeseries timeseries-forecasting

Last synced: 08 Jun 2024

https://github.com/instillai/machine-learning-course

:speech_balloon: Machine Learning Course with Python:

algorithms artificial-intelligence machine-learning machine-learning-algorithms python

Last synced: 07 Jun 2024

https://github.com/hammadshaikhha/Data-Science-and-Machine-Learning-from-Scratch

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

machine-learning machine-learning-algorithms machine-learning-from-scratch python siraj-raval statistical-concepts

Last synced: 07 Jun 2024

https://github.com/scikit-learn-contrib/hdbscan

A high performance implementation of HDBSCAN clustering.

cluster-analysis clustering clustering-algorithm clustering-evaluation machine-learning machine-learning-algorithms

Last synced: 07 Jun 2024

https://github.com/ChakriCherukuri/mlviz

Visualizations of machine learning models and algorithms

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Last synced: 07 Jun 2024

https://github.com/AICoE/log-anomaly-detector

Log Anomaly Detection - Machine learning to detect abnormal events logs

aiops anomaly-detection artificial-intelligence gensim kubernetes log machine-learning-algorithms som stream-processing word2vec

Last synced: 03 Jun 2024

https://github.com/Rilfanayasmin/Raven-coding

Practice programming with R and Python on all data science algorithms

data-science machine-learning-algorithms predictive-modeling r-programming statistical-models

Last synced: 03 Jun 2024

https://github.com/Elsemary/Actuarial-Reserve-Risk-Classification-with-Gaussian-Mixture

Classification of reserve risk with chain-ladder

actuarial-modeling actuarial-science artificial-intelligence machine-learning-algorithms mathematics risk-analysis risk-assessment risk-modelling

Last synced: 03 Jun 2024

https://github.com/curiousily/Machine-Learning-from-Scratch

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

artificial-intelligence book classification data-science machine-learning machine-learning-algorithms neural-networks notebook recommender-systems regression reinforcement-learning sentiment-analysis

Last synced: 02 Jun 2024

https://github.com/bukosabino/btctrading

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

bitcoin deep-learning deep-neural-networks forecast future machine-learning machine-learning-algorithms prediction price time-series trends xgboost

Last synced: 02 Jun 2024

https://github.com/nanahou/Awesome-Speech-Enhancement

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

deep-neural-networks machine-learning-algorithms signal-processing speech-enhancement speech-processing

Last synced: 01 Jun 2024

https://github.com/tirthajyoti/Papers-Literature-ML-DL-RL-AI

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

artificial-intelligence data-mining data-science deep-learning game-theory hardware learning-theory literature machine-learning machine-learning-algorithms neural-network paper pattern-recognition reinforcement-learning silicon statistical-learning statistics

Last synced: 01 Jun 2024

https://github.com/murufeng/awesome-machine-learning

A curated list of awesome machine Learning tutorials,courses and communities.

machine-learning machine-learning-algorithms machine-learning-coursera machine-learning-models machine-learning-tutorials

Last synced: 31 May 2024

https://github.com/hktxt/Learn-Statistical-Learning-Method

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

machine-learning machine-learning-algorithms statistical-learning-method

Last synced: 31 May 2024

https://github.com/lawmurray/Birch

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

autodiff bayesian bayesian-inference bayesian-methods bayesian-statistics data-science machine-learning machine-learning-algorithms machine-learning-projects monte-carlo-methods monte-carlo-sampling probabilistic-programming-languages statistics

Last synced: 31 May 2024

https://github.com/therealsreehari/Learn-Data-Science-For-Free

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.

artificial-intelligence computer-vision data-science datascienceproject deeplearning machine-learning machine-learning-algorithms natural-language-processing neural-networks

Last synced: 31 May 2024

https://github.com/HaliteChallenge/Halite-II

Season 2 of @twosigma's artificial intelligence programming challenge

ai coding coding-challenge competition competitive-programming deep-learning deep-neural-networks deeplearning halite machine-learning machine-learning-algorithms

Last synced: 30 May 2024

https://github.com/veekaybee/what_are_embeddings

A deep dive into embeddings starting from fundamentals

embeddings machine-learning machine-learning-algorithms nlp-machine-learning

Last synced: 30 May 2024

https://github.com/shibajyotidebbarma/Machine-Learning-with-Scikit-Learn-Breast-Cancer-Winconsin-Dataset

In this machine learning project I will work on the Wisconsin Breast Cancer Dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter).

breast-cancer breast-cancer-prediction breast-cancer-wisconsin datascience ipython jupyter-notebook machine-learning machine-learning-algorithms neural-network neural-networks python3

Last synced: 29 May 2024

https://github.com/AyeshaShafique/Breast-Cancer-Study

breast-cancer-prediction machine-learning machine-learning-algorithms model-comparsion python

Last synced: 28 May 2024

https://github.com/AFAgarap/wisconsin-breast-cancer

[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

binary-classification classification linear-regression logistic-regression machine-learning machine-learning-algorithms multilayer-perceptron nearest-neighbours-classifier recurrent-neural-network scikit-learn softmax-regression supervised-learning support-vector-machine tensorflow

Last synced: 28 May 2024

https://github.com/JsonChao/ML-Roadmap

:robot: Roadmap to becoming a Machine Learning developer in 2020

deeplearning machine-learning machine-learning-algorithms neural-network python roadmap toturial

Last synced: 28 May 2024

https://github.com/symisc/sod

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

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Last synced: 28 May 2024

https://github.com/r3fang/SnapATAC

Analysis Pipeline for Single Cell ATAC-seq

bioinformatics-pipeline epigenetics machine-learning-algorithms sequencing single-cell-analysis single-cell-atac-seq

Last synced: 27 May 2024

https://github.com/Avik-Jain/100-Days-Of-ML-Code

100 Days of ML Coding

100-days-of-code-log 100daysofcode deep-learning implementation infographics linear-algebra linear-regression logistic-regression machine-learning machine-learning-algorithms naive-bayes-classifier python scikit-learn siraj-raval siraj-raval-challenge support-vector-machines svm tutorial

Last synced: 26 May 2024

https://github.com/nschaetti/EchoTorch

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

artificial-intelligence artificial-neural-networks echo-state-networks machine-learning machine-learning-algorithms machinelearning neural-networks python python-toolkit pytorch recurrent-networks recurrent-neural-networks reservoir-computing torch

Last synced: 23 May 2024

https://github.com/s-baumann/BayesianIntegral.jl

Bayesian Integration of functions

bayesian-statistics machine-learning-algorithms numerical-integration

Last synced: 21 May 2024

https://github.com/xgfs/verse

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

embeddings graph graph-algorithms machine-learning machine-learning-algorithms similarity-measures

Last synced: 20 May 2024

https://github.com/kritiksoman/GIMP-ML

AI for GNU Image Manipulation Program

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Last synced: 20 May 2024

https://github.com/bat67/awesome-deep-learning-and-machine-learning-questions

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

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Last synced: 16 May 2024

https://github.com/rasbt/pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

machine-learning machine-learning-algorithms pattern-classification

Last synced: 15 May 2024

https://github.com/ZuzooVn/machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

artificial-intelligence deep-learning machine-learning machine-learning-algorithms software-engineer

Last synced: 15 May 2024

https://github.com/aiwithqasim/Free-Artificial-Intelligence-Resources

Welcome, to this Open Source Repository regarding FREE ARTIFICIAL INTELLIGENCE RESOURCE. Get Benefit from the free resources mention & kindly five STAR & FORK this so that it can get maximum Fame so that Everyone can take advantage.

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Last synced: 14 May 2024

https://github.com/mrsaeeddev/free-ai-resources

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

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Last synced: 14 May 2024

https://github.com/microsoft/ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

data-science education machine-learning machine-learning-algorithms machinelearning machinelearning-python ml python r scikit-learn scikit-learn-python

Last synced: 14 May 2024

https://github.com/ZhiningLiu1998/awesome-machine-learning-resources

A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

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Last synced: 14 May 2024

https://github.com/mljar/mljar-examples

Examples how MLJAR can be used

machine-learning machine-learning-algorithms machine-learning-api machine-learning-library neural-networks

Last synced: 13 May 2024

https://github.com/Somnibyte/MLKit

A simple machine learning framework written in Swift 🤖

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Last synced: 13 May 2024

https://github.com/tailhq/DynaML

Scala Library/REPL for Machine Learning Research

classification committee-models gaussian-processes kernel-methods machine-learning machine-learning-algorithms machine-learning-api regression repl scala scala-library tensorflow

Last synced: 13 May 2024

https://diegoinacio.github.io/machine-learning-notebooks/

🤖 An authorial set of fundamental python recipes on Machine Learning and Artificial Intelligence.

algorithms artificial-intelligence data-science deep-learning machine-learning machine-learning-algorithms machine-learning-notebooks mathematics natural-language-processing python

Last synced: 13 May 2024

https://github.com/andygeiss/machine-learning-classification

This repository provides a Golang implementation from scratch to solve a classification problem using the K-Nearest Neighbour algorithm.

go golang k-nearest-neighbours machine-learning machine-learning-algorithms standard-project template

Last synced: 13 May 2024

https://github.com/LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

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

artificial-neural-networks bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperband hyperparameter-optimization hyperparameter-tuning knn machine-learning machine-learning-algorithms optimization particle-swarm-optimization python-examples python-samples random-forest random-search svm tuning-parameters

Last synced: 12 May 2024

https://github.com/trekhleb/homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

algorithm jupyter jupyter-notebook machine-learning machine-learning-algorithms machinelearning python

Last synced: 12 May 2024

https://github.com/cdslaborg/paramonte

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

adaptive-learning bayesian-inference bayesian-statistics c cpp fortran machine-learning machine-learning-algorithms machine-learning-library markov-chain matlab mcmc monte-carlo monte-carlo-simulations mpi numerical-integration openmp python sampling

Last synced: 12 May 2024

https://github.com/sergioburdisso/pyss3

A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)

artificial-intelligence data-mining document-categorization document-classification early-classification explainable-artificial-intelligence interpretability interpretable-machine-learning interpretable-ml machine-learning machine-learning-algorithms multilabel-classification natural-language-processing nlp sentence-classification ss3-classifier text-classification text-labeling text-mining xai

Last synced: 12 May 2024

https://github.com/PRML/PRMLT

Matlab code of machine learning algorithms in book PRML

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Last synced: 12 May 2024

https://github.com/materialsproject/matbench

Matbench: Benchmarks for materials science property prediction

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Last synced: 11 May 2024

https://github.com/osdg-ai/osdg-tool

OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.

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Last synced: 09 May 2024

https://github.com/benedekrozemberczki/awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

atari deep-learning deep-q-learning learning machine-learning machine-learning-algorithms monte-carlo monte-carlo-tree-search policy-evaluation policy-gradient q-learning reinforcement-learning reinforcement-learning-agent reinforcement-learning-algorithms rl tree-search

Last synced: 08 May 2024

https://github.com/krishnakumarsekar/awesome-quantum-machine-learning

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

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Last synced: 07 May 2024

https://github.com/TheAlgorithms/C-Plus-Plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

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Last synced: 07 May 2024

https://github.com/victorqribeiro/perceptron

The simplest Perceptron you'll ever see

machine-learning machine-learning-algorithms perceptron

Last synced: 07 May 2024

https://github.com/Dod-o/Statistical-Learning-Method_Code

手写实现李航《统计学习方法》书中全部算法

code machine-learning-algorithms statistical-learning-method

Last synced: 07 May 2024

https://github.com/tslearn-team/tslearn

The machine learning toolkit for time series analysis in Python

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Last synced: 05 May 2024

https://github.com/microsoft/nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

automated-machine-learning automl bayesian-optimization data-science deep-learning deep-neural-network distributed feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms mlops model-compression nas neural-architecture-search neural-network python pytorch tensorflow

Last synced: 05 May 2024

https://github.com/prathimacode-hub/PyAlgo-Tree

👍This project aims to be a finest hub of various data structures and algorithms using python. Feel free to contribute and show your support by ✨ this repository.

arithmetic backtracking-algorithm bit-manipulation ciphers computer-vision contributions-welcome cryptography data-structures data-structures-and-algorithms deep-learning dynamic-programming hacktoberfest hacktoberfest2022 machine-learning-algorithms open-source pathfinding python3 scheduling-algorithms searching-algorithms sorting-algorithms

Last synced: 04 May 2024

https://github.com/rapidsai/cuml

cuML - RAPIDS Machine Learning Library

cuda gpu machine-learning machine-learning-algorithms nvidia

Last synced: 04 May 2024

https://github.com/EdwardRaff/JSAT

Java Statistical Analysis Tool, a Java library for Machine Learning

java jsat machine-learning machine-learning-algorithms machine-learning-library svm tsne

Last synced: 02 May 2024

https://github.com/oneapi-src/oneDAL

oneAPI Data Analytics Library (oneDAL)

ai-inference ai-machine-learning ai-training analytics big-data cpp data-analysis data-science hacktoberfest machine-learning machine-learning-algorithms oneapi onedal swrepo

Last synced: 01 May 2024

https://github.com/gagolews/genie

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

cluster cluster-analysis clustering data-analysis data-mining data-science datascience genie hierarchical-clustering-algorithm machine-learning machine-learning-algorithms outliers r

Last synced: 01 May 2024

https://github.com/smartcorelib/smartcore

A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.

classification clustering machine-learning machine-learning-algorithms model-selection regression rust rust-lang scientific-computing statistical-learning statistical-models

Last synced: 29 Apr 2024

https://github.com/jaswinder9051998/zoofs

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.

evolutionary-algorithms feature-selection genetic-algorithm grey-wolf grey-wolf-optimizer machine-learning machine-learning-algorithms machinelearning optimization optimization-algorithms optimization-methods optimization-tools particle-swarm particle-swarm-optimization python subset-selection supervised-learning