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Top 305 machine-learning-algorithms open source projects

Machine Learning Articles

Monthly Series - Top 10 Machine Learning Articles

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Ofxdarknet

darknet neural network addon for openFrameworks

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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 …

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

Datascience Ai Machinelearning Resources

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

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css machine-learning data-science artificial-intelligence iot statistics big-data machine-learning-algorithms

Agile data code 2

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

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python python3 jupyter-notebook machine-learning data-science kafka data spark analytics machine-learning-algorithms vagrant apache-spark amazon-web-services airflow apache-kafka

Machinejs

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

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javascript python machine-learning data-science javascript-library scikit-learn ml machine-learning-algorithms kaggle automl machine-learning-library automated-machine-learning

Moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

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java machine-learning clustering machine-learning-algorithms

Algorithmsanddatastructure

Algorithms And DataStructure Implemented In Python & CPP, Give a Star 🌟If it helps you

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python cpp hacktoberfest algorithm data-structures machine-learning-algorithms computer-science

Ml Roadmap

🤖 Roadmap to becoming a Machine Learning developer in 2020

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

Pattern classification

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

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Jupyter Notebook HTML machine-learning machine-learning-algorithms pattern-classification

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.

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python jupyter-notebook machine-learning machine-learning-algorithms

100daysofmlcode

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python3 jupyter-notebook deep-learning machine-learning machine-learning-algorithms implementation

Awesome Monte Carlo Tree Search Papers

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

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python deep-learning machine-learning reinforcement-learning learning machine-learning-algorithms rl policy-gradient q-learning

Cudf

cuDF - GPU DataFrame Library

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C++Cuda python java cython CMake gpu cuda pandas machine-learning-algorithms arrow python-api anaconda h2o mapd gpu-dataframe rapids cudf

Onedal

oneAPI Data Analytics Library (oneDAL)

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hacktoberfest machine-learning data-analysis machine-learning-algorithms

Lightml.jl

Minimal and clean examples of machine learning algorithms implemented in Julia

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julia machine-learning-algorithms

Pyltr

Python learning to rank (LTR) toolkit

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python machine-learning machine-learning-algorithms machine-learning-library

Perceptron

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

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Differentiable Plasticity

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

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python machine-learning ai ml machine-learning-algorithms

Articles

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

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Bestofml

The best resources around Machine Learning

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Draw

Reimplementation of DRAW

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python jupyter-notebook machine-learning-algorithms theano

Fbp

FBP项目全称FootBallPrediction，历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习，不断摸索开发了一个程序。程序根据各大公司赔率多维度预测足球比赛结果（包含胜和不胜）。机器学习用的是自己建立的“三木板模型”算法，已在国家期刊发表论文并被万方数据库收录，详见_ML_文件。目前准确率可达80%。该项目在自己创建的微信群里已经吸引了很多人，附件为群讨论截图，并且每天均有部分人根据预测结果参考投注竞彩，参考的人都获得了相应的收益。现在想通过认识更多的有识之士，一起探索如何将项目做大做强，找到合伙人，实现共赢。希望感兴趣的同仁联系本人，微信号acredjb。公众号AI金胆（或AI-FBP），每天都有程序预测的足球比赛。程序优势请看Advantages和README文件。程序3.0版本：（第三轮目前13中12） 8月10日：13让负（正确） 8月11日：27让负（正确） 8月12日：11让负（正确） 8月13日：6胜（不正确） 8月14日：25让负（正确） 8月15日：无预测 8月16日：1胜（正确） 8月17日：6让负（正确） 8月18日：16胜（正确） 8月19日：34让负（正确） ... 1.0版本（第一轮为11中9） 2.0版本（第二轮13中11）.

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algorithm machine-learning-algorithms prediction football

Machine learning basics

Plain python implementations of basic machine learning algorithms

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

Homemade Machine Learning

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

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Options Trading Strategies In Python

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

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python python3 machine-learning machine-learning-algorithms quantitative-finance quantitative-trading

Ocr Form Tools

A set of tools to use in Microsoft Azure Form Recognizer and OCR services.

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typescript machine-learning machine-learning-algorithms

Machine Learning Algorithms From Scratch

Implementing machine learning algorithms from scratch.

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python machine-learning machine-learning-algorithms unsupervised-learning supervised-learning

Machine Learning Books

book

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machine-learning tutorial book data-mining machine-learning-algorithms

Tensorfow Rbm

Tensorflow implementation of Restricted Boltzmann Machine

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python machine-learning tensorflow machine-learning-algorithms

Cs229 Ml Implementation

Implementation of cs229(Machine Learning taught by Andrew Ng) in python.

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python deeplearning machine-learning-algorithms

Mathematicaforprediction

Mathematica implementations of machine learning algorithms used for prediction and personalization.

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algorithm machine-learning-algorithms prediction algorithms-implemented

Awesome Computer Vision Models

A list of popular deep learning models related to classification, segmentation and detection problems

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deep-learning machine-learning awesome awesome-list computer-vision object-detection semantic-segmentation image-classification machine-learning-algorithms resnet awesome-lists densenet

Vtreat

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.

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r html machine-learning-algorithms

Notebooks Statistics And Machinelearning

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

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python jupyter-notebook machine-learning data-science statistics machine-learning-algorithms machinelearning datascience ipython-notebook ipynb

Lihang algorithms

用python和sklearn两种方法实现李航《统计学习方法》中的算法

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python data-mining machine-learning-algorithms

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.

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

Machine Learning And Ai In Trading

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

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Netket

Machine learning algorithms for many-body quantum systems

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Prmlt

Matlab code of machine learning algorithms in book PRML

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R-Data-Structures-and-Algorithms

R Data Structures and Algorithms, published by Packt

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r machine-learning algorithm datastructures machine-learning-algorithms algorithms-datastructures

MachineLearningSeries

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

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Jupyter Notebook python data-science machine-learning random-forest linear-regression machine-learning-algorithms classification k-means k-nearest-neighbours classification-algorithm classification-trees k-means-clustering classification-model

Credit-Risk-Analysis

No description or website provided.

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Jupyter Notebook machine-learning sklearn machine-learning-algorithms outlier-detection feature-engineering credit-scoring

PartialLeastSquaresRegressor.jl

Implementation of a Partial Least Squares Regressor

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julia machine-learning machine-learning-algorithms julia-language regression multivariate-analysis partial-least-squares-regression pls regressor regression-algorithms regression-analysis leastsquares squares-regressor pls1 nipals pls-mlj-model linear-algorithm kernel-pls2

Data-Analysis

Different types of data analytics projects : EDA, PDA, DDA, TSA and much more.....

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Jupyter Notebook data-science machine-learning-algorithms neural-networks data-analysis deeplearning tsa time-series-analysis

car-OCR

基于机器学习和OCR的车牌识别系统 @fujunhao

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java HTML car opencv ocr machine-learning-algorithms svm-classifier

RL-2018

Reinforcement Learning at UCLA IPAM RIPS 2018

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TeX python Jupyter Notebook Batchfile machine-learning reinforcement-learning machine-learning-algorithms openai-gym q-learning

sdp

Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning

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python deep-learning tensorflow machine-learning-algorithms probability-distribution density-estimation tensorflow-models

fastML

A Python package built on sklearn for running a series of classification Algorithms in a faster and easier way.

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python data-science machine-learning deep-learning neural-network algorithms machine-learning-algorithms

Seating Chart

Optimizing a Wedding Reception Seating Chart Using a Genetic Algorithm

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r genetic-algorithm machine-learning-algorithms wedding

data-algorithms-with-spark

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

ZS-Data-Science-Challenge

A Data science challenge - "Mekktronix Sales Forecasting" organised by ZS through Hackerearth platform. Rank: 223 out of 4743.

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Jupyter Notebook python data-science machine-learning-algorithms hackerearth predictive-modeling

adventures-with-ann

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

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Jupyter Notebook machine-learning-algorithms nearest-neighbor-search nearest-neighbors ann approximate-nearest-neighbor-search

reweighted-ws

Implementation of the reweighted wake-sleep machine learning algorithm

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python Jupyter Notebook shell theano machine-learning-algorithms

glossary

https://machinelearning.wtf/ - An online glossary of machine learning terms.

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SCSS HTML machine-learning deep-neural-networks reinforcement-learning deep-learning machine-learning-algorithms mathematics artificial-intelligence neural-networks

Customer segmentation

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

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Jupyter Notebook machine-learning-algorithms predictive-analytics voting-classifier customer-segmentation customer-analytics e-commerce-example

interactive-simple-linear-regression

A PureScript, browser-based implementation of simple linear regression.

OpencvInstallation

shell script for openCV installation and configuration in linux based system. Most easy way to configue openCV, you only need to run opencv.sh shell file.

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shell opencv machine-learning cmake computer-vision machine-learning-algorithms sudo image-processing machine-vision optical-character-recognition

PyImpetus

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

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Jupyter Notebook python statistics machine-learning-algorithms probability feature-selection t-test markov-blanket minimal-features

FB-Ads-Opt-UCB

The easiest way to optimize Facebook Ads using Upper Confidence Bound Algorithm. 💻

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python machine-learning facebook algorithm machine-learning-algorithms ads dataset facebook-ads impressions hacktoberfest upper-confidence-bounds optimize-facebook-ads hacktoberfest-accepted hacktoberfest2021

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