Top Machine Learning Github repositories
Based on Top Deep Learning
Here is a list of the top-200 Machine Learning Github repositories sorted by the number of stars.
The query that has been used for the GitHub search API is "Machine Learning".
Date: 03/16/2018
Note: This listing will be updated regularly.
Id | Name | Description | Language | Stars | Forks |
---|---|---|---|---|---|
1 | tensorflow | Computation using data flow graphs for scalable machine learning | C++ | 92877 | 59682 |
2 | awesome-machine-learning | A curated list of awesome Machine Learning frameworks, libraries and software. | Python | 31263 | 7647 |
3 | scikit-learn | scikit-learn: machine learning in Python | Python | 26594 | 13399 |
4 | machine-learning-for-software-engineers | A complete daily plan for studying to become a machine learning engineer. | None | 18320 | 3731 |
5 | predictionio | PredictionIO, a machine learning server for developers and ML engineers. Built on Apache Spark, HBase and Spray. | Scala | 11126 | 1786 |
6 | Qix | Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang | None | 10754 | 4324 |
7 | cheatsheets-ai | Essential Cheat Sheets for deep learning and machine learning researchers | None | 9141 | 1981 |
8 | python-machine-learning-book | The "Python Machine Learning (1st edition)" book code repository and info resource | Jupyter Notebook | 8151 | 2968 |
9 | ML-From-Scratch | Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning. | Python | 7991 | 1093 |
10 | dive-into-machine-learning | Dive into Machine Learning with Python Jupyter notebook and scikit-learn! | None | 7966 | 1360 |
11 | Machine-Learning-Tutorials | machine learning and deep learning tutorials, articles and other resources | None | 6920 | 1923 |
12 | deeplearnjs | Hardware-accelerated deep learning // machine learning // NumPy library for the web. | TypeScript | 6737 | 658 |
13 | MLAlgorithms | Minimal and clean examples of machine learning algorithms | Python | 6580 | 1027 |
14 | state-of-the-art-result-for-machine-learning-problems | This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately. | None | 6389 | 962 |
15 | handson-ml | A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow. | Jupyter Notebook | 6357 | 3172 |
16 | turicreate | Turi Create simplifies the development of custom machine learning models. | C++ | 6173 | 553 |
17 | pattern | Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization. | Python | 6143 | 1191 |
18 | ChatterBot | ChatterBot is a machine learning, conversational dialog engine for creating chat bots | Python | 5501 | 1947 |
19 | php-ml | PHP-ML - Machine Learning library for PHP | PHP | 5460 | 743 |
20 | vowpal_wabbit | Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning. | C++ | 5338 | 1348 |
21 | golearn | Machine Learning for Go | Go | 5305 | 666 |
22 | Swift-AI | The Swift machine learning library. | Swift | 5282 | 523 |
23 | LightGBM | A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft. | C++ | 4968 | 1310 |
24 | have-fun-with-machine-learning | An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks | Python | 4536 | 436 |
25 | dlib | A toolkit for making real world machine learning and data analysis applications in C++ | C++ | 4435 | 1325 |
26 | aerosolve | A machine learning package built for humans. | Scala | 4303 | 556 |
27 | amazon-dsstne | Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models | C++ | 4065 | 671 |
28 | facets | Visualizations for machine learning datasets | Jupyter Notebook | 3990 | 455 |
29 | tpot | A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. | Python | 3757 | 605 |
30 | smile | Statistical Machine Intelligence & Learning Engine | Java | 3693 | 702 |
31 | TensorFlow-Book | Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations. | Jupyter Notebook | 3692 | 882 |
32 | Data-Analysis-and-Machine-Learning-Projects | Repository of teaching materials, code, and data for my data analysis and machine learning projects. | Jupyter Notebook | 3525 | 1117 |
33 | lime | Lime: Explaining the predictions of any machine learning classifier | JavaScript | 3478 | 458 |
34 | bullet3 | Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc. | C++ | 3371 | 928 |
35 | ML_for_Hackers | Code accompanying the book "Machine Learning for Hackers" | R | 3269 | 2163 |
36 | FlappyLearning | Program learning to play Flappy Bird by machine learning (Neuroevolution) | JavaScript | 3250 | 358 |
37 | machine-learning-mindmap | A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning. | None | 3222 | 503 |
38 | weight-loss | Machine Learning meets ketosis: how to effectively lose weight | Python | 3156 | 141 |
39 | angel | A Flexible and Powerful Parameter Server for large-scale machine learning | Java | 3153 | 776 |
40 | pattern_classification | A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks | Jupyter Notebook | 3098 | 1041 |
41 | pymc3 | Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano | Python | 3030 | 746 |
42 | DataSciencePython | common data analysis and machine learning tasks using python | Python | 2984 | 837 |
43 | whereami | Uses WiFi signals 📶 and machine learning to predict where you are | Python | 2976 | 191 |
44 | h2o-3 | Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...) | Java | 2923 | 1162 |
45 | teachable-machine | Explore how machine learning works, live in the browser. No coding required. | JavaScript | 2872 | 297 |
46 | DeepLearningProject | An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch. | HTML | 2833 | 428 |
47 | tensorflow_cookbook | Code for Tensorflow Machine Learning Cookbook | Jupyter Notebook | 2827 | 1312 |
48 | kubeflow | Machine Learning Toolkit for Kubernetes | Python | 2783 | 309 |
49 | Learn_Machine_Learning_in_3_Months | This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube | None | 2782 | 410 |
50 | MachineLearning | Machine Learning in Action(机器学习实战) | HTML | 2648 | 927 |
51 | framework | Machine learning, computer vision, statistics and general scientific computing for .NET | C# | 2608 | 1332 |
52 | pipeline | PipelineAI: The Standard Runtime For Every Real-Time Machine Learning and AI Prediction in the Enterprise | HTML | 2474 | 665 |
53 | NakedTensor | Bare bone examples of machine learning in TensorFlow | Python | 2456 | 152 |
54 | DMTK | Microsoft Distributed Machine Learning Toolkit | None | 2394 | 558 |
55 | ml-agents | Unity Machine Learning Agents | C# | 2365 | 459 |
56 | MachineLearning | Basic Machine Learning and Deep Learning | Python | 2322 | 1978 |
57 | mit-deep-learning-book-pdf | MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville | Java | 2270 | 535 |
58 | h2o-2 | h2o = fast statistical, machine learning & math runtime for bigdata | Java | 2258 | 601 |
59 | imgaug | Image augmentation for machine learning experiments. | Python | 2231 | 471 |
60 | PRMLT | Matlab code for machine learning algorithms in book PRML | Matlab | 2208 | 1111 |
61 | machine-learning-cheat-sheet | Classical equations and diagrams in machine learning | TeX | 2103 | 549 |
62 | mlpack | mlpack: a scalable C++ machine learning library -- | C++ | 2038 | 784 |
63 | dl-setup | Instructions for setting up the software on your deep learning machine | None | 1998 | 331 |
64 | serving | A flexible, high-performance serving system for machine learning models | C++ | 1954 | 842 |
65 | introduction_to_ml_with_python | Notebooks and code for the book "Introduction to Machine Learning with Python" | Jupyter Notebook | 1947 | 1050 |
66 | machine-learning | Content for Udacity's Machine Learning curriculum | Jupyter Notebook | 1924 | 3984 |
67 | BuildingMachineLearningSystemsWithPython | Source Code for the book Building Machine Learning Systems with Python | Python | 1881 | 1238 |
68 | awesome-machine-learning-cn | 机器学习资源大全中文版,包括机器学习领域的框架、库以及软件 | None | 1873 | 776 |
69 | gorgonia | Gorgonia is a library that helps facilitate machine learning in Go. | Go | 1737 | 171 |
70 | machine_learning_basics | Plain python implementations of basic machine learning algorithms | Jupyter Notebook | 1712 | 202 |
71 | awesome-ml-for-cybersecurity | Machine Learning for Cyber Security | None | 1691 | 475 |
72 | Machine-Learning | None | None | 1688 | 508 |
73 | awesome-machine-learning-on-source-code | Interesting links & research papers related to Machine Learning applied to source code | None | 1659 | 159 |
74 | EasyML | Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks. | Java | 1554 | 334 |
75 | xlearn | High Performance, Easy-to-use, and Scalable Machine Learning Package (C++, Python, R) | C++ | 1518 | 220 |
76 | benchm-ml | A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.). | R | 1425 | 257 |
77 | parallel_ml_tutorial | Tutorial on scikit-learn and IPython for parallel machine learning | Jupyter Notebook | 1405 | 564 |
78 | oryx | Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning | Java | 1392 | 343 |
79 | HLearn | Homomorphic machine learning | Haskell | 1376 | 127 |
80 | mlxtend | A library of extension and helper modules for Python's data analysis and machine learning libraries. | Python | 1358 | 349 |
81 | machine-learning | 🌎 machine learning algorithms tutorials (mainly in Python3) | Jupyter Notebook | 1355 | 238 |
82 | machine_learning_examples | A collection of machine learning examples and tutorials. | Python | 1325 | 1629 |
83 | mlcourse_open | OpenDataScience Machine Learning course. Both in English and Russian | Python | 1283 | 1289 |
84 | seldon-server | Machine Learning Platform and Recommendation Engine built on Kubernetes | Java | 1282 | 273 |
85 | Data-Science-45min-Intros | Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques | Jupyter Notebook | 1240 | 399 |
86 | AI-Blocks | A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models! | JavaScript | 1201 | 118 |
87 | Theano-Tutorials | Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano. | Python | 1189 | 458 |
88 | arXivTimes | repository to research & share the machine learning articles | None | 1132 | 61 |
89 | machinelearninginaction | Source Code for the book: Machine Learning in Action published by Manning | HTML | 1067 | 1029 |
90 | iOS_ML | List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog. | None | 1061 | 115 |
91 | spearmint | Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012 | Python | 1038 | 277 |
92 | opencv4nodejs | Asynchronous OpenCV 3.x nodejs bindings with JavaScript and TypeScript API, with examples for: Face Detection, Machine Learning, Deep Neural Nets, Hand Gesture Recognition, Object Tracking, Feature Matching, Image Histogram | C++ | 1037 | 138 |
93 | ML-Tutorial-Experiment | Coding the Machine Learning Tutorial for Learning to Learn | Jupyter Notebook | 1035 | 347 |
94 | DataScienceR | a curated list of R tutorials for Data Science, NLP and Machine Learning | R | 1019 | 572 |
95 | papers | Summaries of machine learning papers | None | 1007 | 195 |
96 | cortex | Machine learning in Clojure | Clojure | 997 | 86 |
97 | datumbox-framework | Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications. | Java | 964 | 275 |
98 | python-machine-learning-book-2nd-edition | The "Python Machine Learning (2nd edition)" book code repository and info resource | Jupyter Notebook | 960 | 419 |
99 | machine-learning-with-ruby | Curated list: Resources for machine learning in Ruby. | Ruby | 952 | 74 |
100 | TensorComprehensions | A domain specific language to express machine learning workloads. | C++ | 942 | 70 |
101 | mlr | mlr: Machine Learning in R | R | 910 | 273 |
102 | vehicle-detection | Vehicle detection using machine learning and computer vision techniques for Udacity's self-driving car course. | Jupyter Notebook | 904 | 99 |
103 | AndroidTensorFlowMachineLearningExample | Android TensorFlow MachineLearning Example (Building TensorFlow for Android) | Java | 900 | 271 |
104 | ml-videos | A collection of video resources for machine learning | None | 900 | 122 |
105 | limdu | Machine-learning for Node.js | JavaScript | 860 | 77 |
106 | veles | Distributed machine learning platform | C++ | 856 | 187 |
107 | ml | Machine learning tools in JavaScript | JavaScript | 856 | 90 |
108 | turkce-yapay-zeka-kaynaklari | Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa. | None | 850 | 129 |
109 | machine-learning-surveys | A curated list of Machine Learning Surveys, Tutorials and Books. | JavaScript | 842 | 111 |
110 | goml | On-line Machine Learning in Go (and so much more) | Go | 840 | 68 |
111 | BIDMach | CPU and GPU-accelerated Machine Learning Library | Jupyter Notebook | 834 | 165 |
112 | mshadow | Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning | C++ | 832 | 396 |
113 | shap | A unified approach to explain the output of any machine learning model | Jupyter Notebook | 821 | 69 |
114 | SFrame | SFrame: Scalable tabular and graph data-structures built for out-of-core data analysis and machine learning. | C++ | 817 | 302 |
115 | Metrics | Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave | Python | 788 | 317 |
116 | node-tensorflow | Node-tensorflow is a NodeJS API for utilizing Google's machine learning library TensorFlow. | C++ | 784 | 67 |
117 | MachineLearning | Machine learning resources | None | 782 | 293 |
118 | CourseraML | I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks! | Jupyter Notebook | 751 | 303 |
119 | ComputeLibrary | The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies. | C++ | 740 | 237 |
120 | Machine-Learning-for-Cyber-Security | Curated list of tools and resources related to the use of machine learning for cyber security | None | 717 | 229 |
121 | 3D-Machine-Learning | A resource repository for 3D machine learning | None | 704 | 160 |
122 | suiron | Machine Learning for RC Cars | Python | 703 | 75 |
123 | fuel | A data pipeline framework for machine learning | Python | 697 | 238 |
124 | machine-learning-samples | Sample applications built using AWS' Amazon Machine Learning. | Python | 692 | 296 |
125 | jubatus | Framework and Library for Distributed Online Machine Learning | C++ | 689 | 149 |
126 | spark-py-notebooks | Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks | Jupyter Notebook | 687 | 463 |
127 | Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials | A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀) | Python | 682 | 299 |
128 | auto_ml | Automated machine learning for analytics & production | Python | 677 | 121 |
129 | ml4a-ofx | A collection of openFrameworks apps for working with machine learning | C++ | 671 | 149 |
130 | ramp | Rapid Machine Learning Prototyping in Python | Python | 657 | 100 |
131 | mmlspark | Microsoft Machine Learning for Apache Spark | Scala | 646 | 134 |
132 | MachineLearning | 一些关于机器学习的学习资料与研究介绍 | None | 641 | 277 |
133 | machine_learning | Machine learning library for Node.js | JavaScript | 634 | 112 |
134 | MachineLearning_Python | 机器学习算法python实现 | Python | 633 | 348 |
135 | rusty-machine | Machine Learning library for Rust | Rust | 630 | 68 |
136 | mlhelper | Algorithms and utils for Machine Learning in JavaScript. | TypeScript | 629 | 36 |
137 | Multiverso | Parameter server framework for distributed machine learning | C++ | 612 | 195 |
138 | machine-learning-coursera-1 | This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course. | None | 610 | 575 |
139 | Machine-Learning-Flappy-Bird | Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm | JavaScript | 609 | 171 |
140 | high-school-guide-to-machine-learning | Being a high schooler myself and having studied Machine Learning and Artificial Intelligence for a year now, I believe that there fails to exist a learning path in this field for High School students. This is my attempt at creating one. | None | 605 | 46 |
141 | tutorials | A series of machine learning tutorials for Torch7 | Jupyter Notebook | 601 | 319 |
142 | rasa_core | machine learning based dialogue engine for conversational software | Python | 601 | 267 |
143 | Fregata | A light weight, super fast, large scale machine learning library on spark . | Scala | 601 | 170 |
144 | eli5 | A library for debugging/inspecting machine learning classifiers and explaining their predictions | Jupyter Notebook | 595 | 72 |
145 | Augmentor | Image augmentation library in Python for machine learning. | Python | 589 | 142 |
146 | non-overwhelming-machine-learning | A (non overwhelming) list of Machine Learning resources for beginners | None | 588 | 32 |
147 | awesome-adversarial-machine-learning | A curated list of awesome adversarial machine learning resources | None | 587 | 120 |
148 | rwa | Machine Learning on Sequential Data Using a Recurrent Weighted Average | Python | 583 | 64 |
149 | LeadQualifier | 🎯 Qualify sales leads with machine learning | Python | 582 | 98 |
150 | yellowbrick | Visual analysis and diagnostic tools to facilitate machine learning model selection. | Python | 580 | 110 |
151 | milk | MILK: Machine Learning Toolkit | Python | 576 | 134 |
152 | Mallet | MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text. | Java | 574 | 257 |
153 | rapping-neural-network | Rap song writing recurrent neural network trained on Kanye West's entire discography | Python | 569 | 94 |
154 | dml | D's Machine Learning is a machine learning toolkit for python,focus on rightness but efficiency | Python | 554 | 275 |
155 | thinc | 🔮 spaCy's Machine Learning library for NLP in Python | Python | 551 | 68 |
156 | notes-machine-learning | 鉴于我没有时间继续写这个东西,这个项目暂时废止 | Jupyter Notebook | 546 | 256 |
157 | mlai | Notes on machine learning and artificial intelligence. | HTML | 541 | 184 |
158 | MLPB | Machine Learning Problem Bible | Problem Set Here >> | R | 537 |
159 | h2o-tutorials | Tutorials and training material for the H2O Machine Learning Platform | Jupyter Notebook | 537 | 474 |
160 | photon-ml | A scalable machine learning library on Apache Spark | Terra | 527 | 139 |
161 | dmlc-core | A common bricks library for building scalable and portable distributed machine learning. | C++ | 523 | 356 |
162 | MachineLearningCourse | 机器学习精简入门教程 | None | 522 | 195 |
163 | Machine-Learning | Examples and experiments around ML for upcoming Coding Train videos | None | 520 | 107 |
164 | iir | Machine Learning / Natural Language Processing / Information Retrieval | Python | 520 | 238 |
165 | hivemall | Scalable machine learning library for Apache Hive/Spark/Pig | None | 509 | 155 |
166 | ml4a.github.io | machine learning for artists | HTML | 507 | 90 |
167 | lore | Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers | Python | 501 | 39 |
168 | rep | Machine Learning toolbox for Humans | Jupyter Notebook | 499 | 112 |
169 | opencv | OpenCV projects: Face Recognition, Machine Learning, Colormaps, Local Binary Patterns, Examples... | C++ | 499 | 375 |
170 | kaggle-titanic | A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques. | Jupyter Notebook | 486 | 412 |
171 | resources | Resources for Go-based data analysis, visualization, machine learning, etc. | None | 480 | 54 |
172 | cloudml-samples | Samples for Google Cloud Machine Learning Engine | Python | 474 | 282 |
173 | notes-LSJU-machine-learning | 机器学习笔记 | Jupyter Notebook | 473 | 238 |
174 | Octave | my octave exercises for 2011 stanford machine learning class, posted after the due date of course | Matlab | 472 | 321 |
175 | Artificial-Intelligence-and-Machine-Learning | Algorithm implementations and homework solutions for the Stanford's online courses | Python | 469 | 252 |
176 | keystone | Simplifying robust end-to-end machine learning on Apache Spark. | Scala | 468 | 121 |
177 | machine-learning-specialization | None | Jupyter Notebook | 464 | 490 |
178 | bitpredict | Machine learning for high frequency bitcoin price prediction | Python | 464 | 153 |
179 | MLBox | MLBox is a powerful Automated Machine Learning python library. | Python | 459 | 102 |
180 | ciml | A Course in Machine Learning | TeX | 456 | 128 |
181 | ml-course-msu | Lecture notes and code for Machine Learning practical course on CMC MSU | Jupyter Notebook | 452 | 208 |
182 | ai-resources | Selection of resources to learn Artificial Intelligence / Machine Learning / Statistical Inference / Deep Learning / Reinforcement Learning | None | 449 | 69 |
183 | machine-learning-curriculum | 💻 Make machines learn so that you don't have to program them; The ultimate list | None | 448 | 130 |
184 | grobid | A machine learning software for extracting information from scholarly documents | Java | 443 | 119 |
185 | machine_learning | Python coded examples and documentation of machine learning algorithms. | Python | 439 | 278 |
186 | skdata | Data sets for machine learning in Python | Python | 428 | 139 |
187 | talisman | A straightforward & modular NLP, machine learning & fuzzy matching library for JavaScript. | JavaScript | 423 | 29 |
188 | PythonMachineLearning | Practice and tutorial-style notebooks covering wide variety of machine learning techniques | Jupyter Notebook | 422 | 176 |
189 | elasticsearch-learning-to-rank | Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch | Java | 422 | 102 |
190 | hector | Golang machine learning lib | Go | 420 | 102 |
191 | Machine-Learning-Links-And-Lessons-Learned | List of all the lessons learned, best practices, and links from my time studying machine learning | None | 418 | 120 |
192 | hearthbreaker | A Hearthstone: Heroes of WarCraft Simulator for the purposes of Machine Learning and Data Mining | Python | 418 | 116 |
193 | DeepLearningProjectWorkflow | Machine Learning Workflow, from Andrew Ng's lecture at Deep Learning Summer School 2016 | None | 414 | 66 |
194 | DIY-Data-Science | Machine Learning Tool Guides and Theory Notes | None | 412 | 61 |
195 | eatiht | An exercise in unsupervised machine learning: Extract Article's Text in HTml documents. | HTML | 411 | 43 |
196 | skll | SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments. | Python | 410 | 57 |
197 | Stanford-Machine-Learning-Course | machine learning course programming exercise | Matlab | 403 | 297 |
198 | MachineLearning-C---code | using c++ code to show the example of machine learning | C++ | 402 | 224 |
199 | mldb | MLDB is the Machine Learning Database | C++ | 402 | 46 |
200 | JSAT | Java Statistical Analysis Tool, a Java library for Machine Learning | Java | 402 | 141 |