Trending repositories for topic scikit-learn

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

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

100 Days of ML Coding

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AW...

Flower: A Friendly Federated AI Framework

A curated list of project tutorials for project-based learning.

Open standard for machine learning interoperability

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Python Data Science Handbook: full text in Jupyter Notebooks

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

Probably the best curated list of data science software in Python.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

An open source python library for automated feature engineering

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

A modular active learning framework for Python

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

the scikit-learn sidekick

Welcome to Machine Learning: Zero to Hero: From the fundamentals of machine learning to advanced techniques like regressions, classification, clustering, Neural Networks, OpenCV, Recommendation Engine...

<혼자 공부하는 머신러닝+딥러닝>의 코드 저장소입니다.

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

A curated list of project tutorials for project-based learning.

Code Repository for Machine Learning with PyTorch and Scikit-Learn

skops is a Python library helping you share your scikit-learn based models and put them in production

Flower: A Friendly Federated AI Framework

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Probably the best curated list of data science software in Python.

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Python library for portfolio optimization built on top of scikit-learn

A modular active learning framework for Python

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

A toolkit for machine learning from time series

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Machine learning in Python with scikit-learn MOOC

Time series forecasting with machine learning models

100 Days of ML Coding

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

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Flower: A Friendly Federated AI Framework

Python Data Science Handbook: full text in Jupyter Notebooks

Open standard for machine learning interoperability

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AW...

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Code Repository for Machine Learning with PyTorch and Scikit-Learn

A curated list of project tutorials for project-based learning.

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

Parallel computing with task scheduling

Fast and Accurate ML in 3 Lines of Code

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

High-Performance Symbolic Regression in Python and Julia

A unified framework for machine learning with time series

Open Machine Learning Course

Probably the best curated list of data science software in Python.

the scikit-learn sidekick

IBM Data Science Professional Certificate

Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Welcome to Machine Learning: Zero to Hero: From the fundamentals of machine learning to advanced techniques like regressions, classification, clustering, Neural Networks, OpenCV, Recommendation Engine...

Dynamically get the suggested clusters in the data for unsupervised learning.

Flower: A Friendly Federated AI Framework

动手实战人工智能系列教程，希望从监督学习开始，带你入门机器学习和深度学习。我尝试剖析和推导每一个基础算法的原理，将数学过程写出来，同时基于 Python 代码对公式进行实现，做到公式和代码的一一对应。与此同时，我也会利用主流的开源框架重复同样的过程，帮助读者看出手动实现和主流框架实现之间的区别。

<핸즈온 머신러닝 3판>의 주피터 노트북 저장소

Powerful topic model visualization in Python

<혼자 공부하는 머신러닝+딥러닝>의 코드 저장소입니다.

PyMilo: Python for ML I/O

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Food/Diet Recommendation system using machine learning

A curated list of project tutorials for project-based learning.

Machine Learning inference engine for Microcontrollers and Embedded devices

Machine learning in Python with scikit-learn MOOC

High-Performance Symbolic Regression in Python and Julia

skops is a Python library helping you share your scikit-learn based models and put them in production

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

100 Days of ML Coding

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Python Data Science Handbook: full text in Jupyter Notebooks

Flower: A Friendly Federated AI Framework

Open standard for machine learning interoperability

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AW...

A curated list of project tutorials for project-based learning.

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Parallel computing with task scheduling

Fast and Accurate ML in 3 Lines of Code

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

A unified framework for machine learning with time series

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

High-Performance Symbolic Regression in Python and Julia

the scikit-learn sidekick

Building a simple FastAPI application for model inference.

Building a simple FastAPI application for model inference.

Hands-on MLOps projects to explore and learn the practical aspects of machine learning engineering for production.

the scikit-learn sidekick

Welcome to the ultimate guide for starting your journey in Artificial Intelligence and Machine Learning in 2025! This roadmap provides a step-by-step approach to mastering AI and ML, from fundamentals...

Scikit-learn compatible library for molecular fingerprints

This repository contains Dockerfiles, scripts, yaml files, Helm charts, etc. used to scale out AI containers with versions of TensorFlow and PyTorch that have been optimized for Intel platforms. Scali...

<혼자 공부하는 데이터 분석 with 파이썬>의 코드 저장소

Open-source Python toolkit focused on deep learning with ordinal methodologies

High-Performance Python Compute Engine for Data and AI

<핸즈온 머신러닝 3판>의 주피터 노트북 저장소

:fork_and_knife: :thumbsup: Recipe reccomendation system using Word2Vec, TF-IDF, and Cosine Similarity.

Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.

Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the CIC IDS 2018 dataset for training Machine Learning network int...

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Powerful topic model visualization in Python

Koopman operator identification library in Python, compatible with `scikit-learn`

Collection of sports betting AI tools.

👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

Analisis sentimen teks bahasa Indonesia dengan Support Vector Machine (SVM): Perbandingan Leksikon dan Metode Ekstraksi Fitur

the scikit-learn sidekick

High-Performance Python Compute Engine for Data and AI

Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.

Machine Learning and Deep Learning Course

Building a simple FastAPI application for model inference.

Welcome to the ultimate guide for starting your journey in Artificial Intelligence and Machine Learning in 2025! This roadmap provides a step-by-step approach to mastering AI and ML, from fundamentals...

The Orange Book of Machine Learning

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

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

100 Days of ML Coding

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Python Data Science Handbook: full text in Jupyter Notebooks

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Open standard for machine learning interoperability

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AW...

Flower: A Friendly Federated AI Framework

Fast and Accurate ML in 3 Lines of Code

A curated list of project tutorials for project-based learning.

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Parallel computing with task scheduling

A unified framework for machine learning with time series

High-Performance Symbolic Regression in Python and Julia

Open Machine Learning Course

Python library for portfolio optimization built on top of scikit-learn

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

This project detects whether a news is fake or not using machine learning.

Hands-on MLOps projects to explore and learn the practical aspects of machine learning engineering for production.

Scikit-learn compatible library for molecular fingerprints

Open-source Python toolkit focused on deep learning with ordinal methodologies

The Orange Book of Machine Learning

Welcome to Machine Learning: Zero to Hero: From the fundamentals of machine learning to advanced techniques like regressions, classification, clustering, Neural Networks, OpenCV, Recommendation Engine...

This repository contains Dockerfiles, scripts, yaml files, Helm charts, etc. used to scale out AI containers with versions of TensorFlow and PyTorch that have been optimized for Intel platforms. Scali...

ML course at Tarbiat Modares University

ML-algorithms from scratch using Python. Classic Machine Learning course.

Harvard University's CS50AI - Introduction to AI

Face Anti-Spoofing project. Lanit-Tercom summer school 2022

动手实战人工智能系列教程，希望从监督学习开始，带你入门机器学习和深度学习。我尝试剖析和推导每一个基础算法的原理，将数学过程写出来，同时基于 Python 代码对公式进行实现，做到公式和代码的一一对应。与此同时，我也会利用主流的开源框架重复同样的过程，帮助读者看出手动实现和主流框架实现之间的区别。

Machine Learning and Deep Learning Course

a robust AI library for detecting profanity in russian language (regex/SVM based), библиотека для детекции нецензурных слов в русском языке

Food/Diet Recommendation system using machine learning

Machine learning for portfolio management and trading with scikit-learn

<머신 러닝 교과서: 파이토치 편>의 코드 저장소

This Repository collects all my code materials for all my courses ........................ by/ Mohammed Agoor

👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster

<핸즈온 머신러닝 3판>의 주피터 노트북 저장소