Topic: machine-learning-algorithms Goto Github
Some thing interesting about machine-learning-algorithms
Some thing interesting about machine-learning-algorithms
machine-learning-algorithms,The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
User: aburkov
Home Page: http://themlbook.com
machine-learning-algorithms,A resource for learning about Machine learning & Deep Learning
User: aladdinpersson
Home Page: https://www.youtube.com/c/AladdinPersson
machine-learning-algorithms,This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
User: alirezadir
machine-learning-algorithms,Android TensorFlow Lite Machine Learning Example
User: amitshekhariitbhu
Home Page: https://outcomeschool.com
machine-learning-algorithms,100 Days of ML Coding
User: avik-jain
machine-learning-algorithms,手写实现李航《统计学习方法》书中全部算法
User: dod-o
machine-learning-algorithms,Java Statistical Analysis Tool, a Java library for Machine Learning
User: edwardraff
machine-learning-algorithms,Implementation of the node2vec algorithm.
User: eliorc
machine-learning-algorithms,This repository is a compilation of free resources for learning Data Science.
User: geekywrites
Home Page: https://twitter.com/geekywrites
machine-learning-algorithms,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/
User: harleyszhang
machine-learning-algorithms,Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版,算法实现。
User: hktxt
machine-learning-algorithms,:speech_balloon: Machine Learning Course with Python:
Organization: instillai
Home Page: https://machine-learning-course.readthedocs.io/en/latest/
machine-learning-algorithms,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Organization: intel
Home Page: https://intel.github.io/scikit-learn-intelex/
machine-learning-algorithms,Deeplearning Algorithms Tutorial
User: keke-li
Home Page: https://github.com/KeKe-Li/tutorial/tree/master
machine-learning-algorithms,Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
User: krishnakumarsekar
machine-learning-algorithms,AI for GNU Image Manipulation Program
User: kritiksoman
Home Page: https://github.com/kritiksoman/tmp/blob/master/GIMP-ML%20Presentation.pdf
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。
User: liuyubobobo
machine-learning-algorithms,Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
User: liyanghart
machine-learning-algorithms,This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
Organization: microsoft
machine-learning-algorithms,12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Organization: microsoft
Home Page: https://microsoft.github.io/ML-For-Beginners/
machine-learning-algorithms,An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Organization: microsoft
Home Page: https://nni.readthedocs.io
machine-learning-algorithms,The collaboration workspace for Machine Learning
Organization: mlreef
Home Page: https://mlreef.com
machine-learning-algorithms,A modular active learning framework for Python
Organization: modal-python
Home Page: https://modAL-python.github.io/
machine-learning-algorithms,🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
User: mrsaeeddev
machine-learning-algorithms,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.
User: nanahou
machine-learning-algorithms,Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
User: neonwatty
machine-learning-algorithms,a delightful machine learning tool that allows you to train, test, and use models without writing code
User: nidhaloff
Home Page: https://igel.readthedocs.io/en/latest/
machine-learning-algorithms,Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Organization: pathwaycom
Home Page: https://pathway.com
machine-learning-algorithms,Matlab code of machine learning algorithms in book PRML
Organization: prml
Home Page: http://prml.github.io/
machine-learning-algorithms,Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
User: pypatel
machine-learning-algorithms,WTTE-RNN a framework for churn and time to event prediction
User: ragulpr
machine-learning-algorithms,cuML - RAPIDS Machine Learning Library
Organization: rapidsai
Home Page: https://docs.rapids.ai/api/cuml/stable/
machine-learning-algorithms,A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
User: rasbt
machine-learning-algorithms,The "Python Machine Learning (1st edition)" book code repository and info resource
User: rasbt
machine-learning-algorithms,Minimal and clean examples of machine learning algorithms implementations
User: rushter
machine-learning-algorithms,A high performance implementation of HDBSCAN clustering.
Organization: scikit-learn-contrib
Home Page: http://hdbscan.readthedocs.io/en/latest/
machine-learning-algorithms,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.
Organization: smartcorelib
Home Page: https://smartcorelib.org/
machine-learning-algorithms,StellarGraph - Machine Learning on Graphs
Organization: stellargraph
Home Page: https://stellargraph.readthedocs.io/
machine-learning-algorithms,An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
User: symisc
Home Page: https://sod.pixlab.io
machine-learning-algorithms,Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
Organization: the-ai-summer
Home Page: https://theaisummer.com/
machine-learning-algorithms,Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
Organization: thealgorithms
Home Page: https://thealgorithms.github.io/C
machine-learning-algorithms,Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Organization: thealgorithms
Home Page: https://thealgorithms.github.io/C-Plus-Plus
machine-learning-algorithms,Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
User: tirthajyoti
machine-learning-algorithms,🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
User: trekhleb
machine-learning-algorithms,🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"
User: trekhleb
machine-learning-algorithms,The machine learning toolkit for time series analysis in Python
Organization: tslearn-team
Home Page: https://tslearn.readthedocs.io
machine-learning-algorithms,A deep dive into embeddings starting from fundamentals
User: veekaybee
Home Page: http://vickiboykis.com/what_are_embeddings/
machine-learning-algorithms,Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正
User: visualize-ml
machine-learning-algorithms,Plain python implementations of basic machine learning algorithms
User: zotroneneis
machine-learning-algorithms,A complete daily plan for studying to become a machine learning engineer.
User: zuzoovn
Home Page: https://www.codementor.io/zuzoovn/how-i-plan-to-become-a-machine-learning-engineer-a4metbcuk
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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Open source projects and samples from Microsoft.
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