Trending repositories for topic scikit-learn

100 Days of ML Coding

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

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

Python Data Science Handbook: full text in Jupyter Notebooks

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

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...

High-Performance Symbolic Regression in Python and Julia

Flower: A Friendly Federated AI Framework

Feature engineering package with sklearn like functionality

Fast and Accurate ML in 3 Lines of Code

Parallel computing with task scheduling

Code Repository for Machine Learning with PyTorch and Scikit-Learn

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

Automated Machine Learning with scikit-learn

A unified framework for machine learning with time series

My blogs and code for machine learning. http://cnblogs.com/pinard

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

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

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

Feature engineering package with sklearn like functionality

High-Performance Symbolic Regression in Python and Julia

A toolkit for machine learning from time series

Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

Time series forecasting with machine learning models

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

Samples for Intel® oneAPI Toolkits

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

Flower: A Friendly Federated AI Framework

Code Repository for Machine Learning with PyTorch and Scikit-Learn

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

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

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning alg...

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

Carefully curated resource links for data science in one place

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

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Using python and scikit-learn to make stock predictions

100 Days of ML Coding

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

🏆 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

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

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...

Fast and Accurate ML in 3 Lines of Code

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Flower: A Friendly Federated AI Framework

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

High-Performance Symbolic Regression in Python and Julia

Parallel computing with task scheduling

A unified framework for machine learning with time series

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

Automated Machine Learning with scikit-learn

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

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

Feature engineering package with sklearn like functionality

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。

scikit-learn interface for quantum algorithms

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...

In this project, the objective is to predict whether the person has Diabetes or not based on various features like Number of Pregnancies, Insulin Level, Age, BMI.

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

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

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

Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

High-Performance Symbolic Regression in Python and Julia

Machine Learning inference engine for Microcontrollers and Embedded devices

Code Repository for Machine Learning with PyTorch and Scikit-Learn

A toolkit for machine learning from time series

Food/Diet Recommendation system using machine learning

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

Time series forecasting with machine learning models

Feature engineering package with sklearn like functionality

Research project aimed to classify the best stock research posts from r/WallStreetBets for you. 😏

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

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

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

Code Repository for Machine Learning with PyTorch and Scikit-Learn

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...

Fast and Accurate ML in 3 Lines of Code

Flower: A Friendly Federated AI Framework

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

A unified framework for machine learning with time series

Parallel computing with task scheduling

Machine learning in Python with scikit-learn MOOC

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

Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

Time series forecasting with machine learning models

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

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

scikit-learn interface for quantum algorithms

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。

Automated machine learning protocols that start from CSV databases of descriptors or SMILES and produce publication-quality results in Chemistry studies with only one command line.

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

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

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,...

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

Machine learning in Python with scikit-learn MOOC

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

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...

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

Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

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

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

Code Repository for Machine Learning with PyTorch and Scikit-Learn

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

Time series forecasting with machine learning models

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

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

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

Machine Learning and Deep Learning Course

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

The Orange Book of Machine Learning

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.

100 Days of ML Coding

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

Flower: A Friendly Federated AI Framework

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...

Fast and Accurate ML in 3 Lines of Code

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

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

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Parallel computing with task scheduling

A unified framework for machine learning with time series

High-Performance Symbolic Regression in Python and Julia

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

Seamlessly integrate LLMs into scikit-learn.

Open Machine Learning Course

AIShield Watchtower: Dive Deep into AI's Secrets! 🔍 Open-source tool by AIShield for AI model insights & vulnerability scans. Secure your AI supply chain today! ⚙️🛡️

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

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

ML course at Tarbiat Modares University

skscope: Sparse-Constrained OPtimization via itErative-solvers

The Orange Book of 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,...

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 ...

<핸즈온 머신러닝 3판>의 주피터 노트북 저장소

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...

Food/Diet Recommendation system using machine learning

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

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

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.

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

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...

Machine Learning and Deep Learning Course

Python package for conformal prediction

Automated machine learning protocols that start from CSV databases of descriptors or SMILES and produce publication-quality results in Chemistry studies with only one command line.

Powerful topic model visualization in Python