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

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

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

Open standard for machine learning interoperability

Python Data Science Handbook: full text in Jupyter Notebooks

100 Days of ML Coding

Fast and Accurate ML in 3 Lines of Code

Code Repository for Machine Learning with PyTorch and Scikit-Learn

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

Open Machine Learning Course

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

High-Performance Symbolic Regression in Python and Julia

Flower: A Friendly Federated Learning Framework

A scikit-learn compatible neural network library that wraps PyTorch

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Fit interpretable models. Explain blackbox machine learning.

Parallel computing with task scheduling

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

Statistical climate downscaling in Python

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Collection of sports betting AI tools.

Powerful machine learning library for Node.js – uses Python's scikit-learn under the hood.

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

Greetings! 👋 I'm Loga Aswin, diving into a 100-day data science immersion from Python fundamentals to real-world applications. This space will be a live documentation of my journey, where code meets ...

Fast Best-Subset Selection Library

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

Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints

Disease Prediction based on Symptoms.

Code Repository for Machine Learning with PyTorch and Scikit-Learn

High-Performance Symbolic Regression in Python and Julia

:hand: Recognizing "Hand Gestures" using OpenCV and Python.

skscope: Sparse-Constrained OPtimization via itErative-solvers

Time series forecasting with machine learning models

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

🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

All the slides, accompanying code and exercises all stored in this repo. 🎈

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

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

100 Days of ML Coding

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...

Open standard for machine learning interoperability

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

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

Python Data Science Handbook: full text in Jupyter Notebooks

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Flower: A Friendly Federated Learning Framework

Fit interpretable models. Explain blackbox machine learning.

Fast and Accurate ML in 3 Lines of Code

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Parallel computing with task scheduling

High-Performance Symbolic Regression in Python and Julia

Open Machine Learning Course

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

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

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

Machine Learning and Deep Learning Course

Smart agricultural system to recommend most profitable crops to farmers

Fast Best-Subset Selection Library

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

Collection of sports betting AI tools.

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

Statistical climate downscaling in Python

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

skscope: Sparse-Constrained OPtimization via itErative-solvers

Code Repository for Machine Learning with PyTorch and Scikit-Learn

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

High-Performance Symbolic Regression in Python and Julia

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 framework for prototyping and benchmarking imputation methods

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

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

Time series forecasting with machine learning models

Powerful machine learning library for Node.js – uses Python's scikit-learn under the hood.

A toolkit for machine learning from time series

Machine Learning and Deep Learning Course

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

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

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

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

100 Days of ML Coding

Open standard for machine learning interoperability

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

Flower: A Friendly Federated Learning Framework

Parallel computing with task scheduling

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Fast and Accurate ML in 3 Lines of Code

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

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...

High-Performance Symbolic Regression in Python and Julia

Fit interpretable models. Explain blackbox machine learning.

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

A unified framework for machine learning with time series

Time series forecasting with machine learning models

Open Machine Learning Course

Machine Learning and Deep Learning Course

Notes of IBM Data Science Professional Certificate Courses on Coursera

Food/Diet Recommendation system using machine learning

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

skscope: Sparse-Constrained OPtimization via itErative-solvers

implement basic and contextual MAB algorithms for recommendation system

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。

Multi-camera people tracking is to monitoring people with multiple cameras and connecting each other

Time series forecasting with machine learning models

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Repository of course materials for a multi-day course on machine learning for tabular data using Scikit-Learn and XGBoost

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

A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)

A React, Flask and Machine Learning based web application for Crop and Fertilizer Recommendation

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

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.

Fast Best-Subset Selection Library

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

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

High-Performance Symbolic Regression in Python and Julia

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

Greetings! 👋 I'm Loga Aswin, diving into a 100-day data science immersion from Python fundamentals to real-world applications. This space will be a live documentation of my journey, where code meets ...

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

Machine Learning and Deep Learning Course

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。

Cutting-edge Python software utilizing neural networks and machine learning for precise hand movement tracking

Tree prompting: easy-to-use scikit-learn interface for improved prompting.

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

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

100 Days of ML Coding

Open standard for machine learning interoperability

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

Flower: A Friendly Federated Learning Framework

Fast and Accurate ML in 3 Lines of Code

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.

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Seamlessly integrate LLMs into scikit-learn.

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

Parallel computing with task scheduling

Code Repository for Machine Learning with PyTorch and Scikit-Learn

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

A unified framework for machine learning with time series

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

High-Performance Symbolic Regression in Python and Julia

PyMilo: Python for ML I/O

A toolkit for machine learning from time series

scikit-learn interface for quantum algorithms

Powerful topic model visualization in Python

Integrate your chemometric tools with the scikit-learn API 🧪 🤖

Food/Diet Recommendation system using machine learning

Virtual Voice Assistant is a project that utilizes machine learning and natural language processing to enable users to control their devices using voice commands. Technologies used include TensorFlow,...

Notes of IBM Data Science Professional Certificate Courses on Coursera

Multi-camera people tracking is to monitoring people with multiple cameras and connecting each other

Conformal classifiers, regressors and predictive systems

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

Scikit-learn compatible decision trees beyond those offered in scikit-learn

IBM Data Science Professional Certificate

implement basic and contextual MAB algorithms for recommendation system

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

Machine Learning and Deep Learning Course

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.

Repository of course materials for a multi-day course on machine learning for tabular data using Scikit-Learn and XGBoost

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...