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569 search results found

Ml For Beginners ⭐ 63,698

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

Scikit Learn ⭐ 57,160

scikit-learn: machine learning in Python

100 Days Of Ml Code ⭐ 42,417

100 Days of ML Coding

Data Science Ipython Notebooks ⭐ 25,668

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, AWS, and various command lines.

Handson Ml ⭐ 25,036

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

Onnx ⭐ 16,275

Open standard for machine learning interoperability

Best Of Ml Python ⭐ 14,990

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

Virgilio ⭐ 13,515

Your new Mentor for Data Science E-Learning.

Python Machine Learning Book ⭐ 11,645

The "Python Machine Learning (1st edition)" book code repository and info resource

Mlcourse.ai ⭐ 9,871

Open Machine Learning Course

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

Autogluon ⭐ 8,807

Fast and Accurate ML in 3 Lines of Code

Sktime ⭐ 8,359

A unified framework for machine learning with time series

Interpret ⭐ 6,368

Fit interpretable models. Explain blackbox machine learning.

Skorch ⭐ 6,023

A scikit-learn compatible neural network library that wraps PyTorch

Python Machine Learning Book 2nd Edition ⭐ 5,944

The "Python Machine Learning (2nd edition)" book code repository and info resource

Sklearn Doc Zh ⭐ 5,156

📖 [译] scikit-learn（sklearn）中文文档

Orange3 ⭐ 4,469

🍊 📊 💡 Orange: Interactive data analysis

Machine_learning_complete ⭐ 4,296

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

Pipeline ⭐ 4,158

Yellowbrick ⭐ 4,102

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Machinelearning ⭐ 4,030

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

Python Machine Learning Book 3rd Edition ⭐ 3,897

The "Python Machine Learning (3rd edition)" book code repository

Flower ⭐ 3,545

Flower: A Friendly Federated Learning Framework

Flaml ⭐ 3,500

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

Artificial Intelligence Deep Learning Machine Learning Tutorials ⭐ 3,436

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 Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

God Level Data Science Ml Full Stack ⭐ 3,384

A collection of scientific methods, processes, algorithms, and systems to build stories & models. Whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

Hummingbird ⭐ 3,268

Hummingbird compiles trained ML models into tensor computation for faster inference.

Ml Workspace ⭐ 3,197

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Scikit Learn Videos ⭐ 3,180

Jupyter notebooks from the scikit-learn video series

Machine Learning With Python ⭐ 3,147

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

a delightful machine learning tool that allows you to train, test, and use models without writing code

Mljar Supervised ⭐ 2,867

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Scikit Llm ⭐ 2,775

Seamlessly integrate LLMs into scikit-learn.

Dtreeviz ⭐ 2,720

A python library for decision tree visualization and model interpretation.

Data Science Best Resources ⭐ 2,718

Carefully curated resource links for data science in one place

Scikit Optimize ⭐ 2,700

Sequential model-based optimization with a `scipy.optimize` interface

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Machine Learning Book ⭐ 2,474

Code Repository for Machine Learning with PyTorch and Scikit-Learn

M2cgen ⭐ 2,411

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Scikit Plot ⭐ 2,277

An intuitive library to add plotting functionality to scikit-learn objects.

Awesome Python Data Science ⭐ 2,126

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

Projectlearn Project Based Learning ⭐ 2,074

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

Practical Machine Learning With Python ⭐ 2,054

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Feature_engine ⭐ 1,651

Feature engineering package with sklearn like functionality

High-Performance Symbolic Regression in Python and Julia

Autoviz ⭐ 1,550

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

General Assembly's 2015 Data Science course in Washington, DC

Imodels ⭐ 1,454

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Auto_ml ⭐ 1,442

[UNMAINTAINED] Automated machine learning for analytics & production

Gplearn ⭐ 1,441

Genetic Programming in Python, with a scikit-learn inspired API

Metric Learn ⭐ 1,397

Metric learning algorithms in Python

Scikit Learn Tips ⭐ 1,393

🤖⚡ 50 scikit-learn tips

Jetson Containers ⭐ 1,388

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Hyperlearn ⭐ 1,387

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

Hands On Machine Learning ⭐ 1,201

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Traingenerator ⭐ 1,184

🧙 A web app to generate template code for machine learning

Machine Learning With Python ⭐ 1,155

Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!

Sklearn Porter ⭐ 1,150

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

Scikit Learn Intelex ⭐ 1,116

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

Scikit Lego ⭐ 1,099

Extra blocks for scikit-learn pipelines.

Sparkit Learn ⭐ 1,054

PySpark + Scikit-learn = Sparkit-learn

Spark Sklearn ⭐ 1,039

(Deprecated) Scikit-learn integration package for Apache Spark

Scikit Survival ⭐ 1,027

Survival analysis built on top of scikit-learn

Alphapy ⭐ 1,003

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Scikit Learn Mooc ⭐ 963

Machine learning in Python with scikit-learn MOOC

Windows Machine Learning ⭐ 945

Samples and Tools for Windows ML.

Nolearn ⭐ 939

Combines the ease of use of scikit-learn with the power of Theano/Lasagne

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

Onnxmltools ⭐ 896

ONNXMLTools enables conversion of models to ONNX

Scikit Multilearn ⭐ 855

A scikit-learn based module for multi-label et. al. classification

Machinelearningstocks ⭐ 851

Using python and scikit-learn to make stock predictions

Data Science Portfolio ⭐ 833

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Skforecast ⭐ 792

Time series forecasting with scikit-learn models

Actionai ⭐ 777

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

Human Learn ⭐ 759

Natural Intelligence is still a pretty good idea.

Mlserver ⭐ 757

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

A toolkit for conducting machine learning tasks with time series data

Scikit Multiflow ⭐ 700

A machine learning package for streaming data in Python. The other ancestor of River.

Skfolio ⭐ 699

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

Deep Learning Wizard ⭐ 664

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

Giotto Tda ⭐ 658

A high-performance topological machine learning toolbox in Python

Datacamp Python Data Science Track ⭐ 655

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

Hyperparameter_hunter ⭐ 635

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Concrete Ml ⭐ 607

Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.

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

A graph-based functional API for building complex scikit-learn pipelines.

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

Neuraxle ⭐ 533

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

Scikitlearn.jl ⭐ 522

Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

Amazing Feature Engineering ⭐ 485

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 algorithms. Feature engineering can be considered as applied machine learning itself.

Palladium ⭐ 479

Framework for setting up predictive analytics services

Hyperactive ⭐ 475

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

Sklearn Evaluation ⭐ 447

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

Sklearn Bayes ⭐ 439

Python package for Bayesian Machine Learning with scikit-learn API

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Blocklyml ⭐ 421

BlocklyML is a simple visual programming Tool for python and ML. 🧩 🖥️

Machinejs ⭐ 412

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

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