scikit-learn is a Python module for machine learning.
There are 19,513 repositories under scikit-learn topic.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
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.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
The "Python Machine Learning (1st edition)" book code repository and info resource
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Open Machine Learning Course
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
My blogs and code for machine learning. http://cnblogs.com/pinard
Automated Machine Learning with scikit-learn
The "Python Machine Learning (2nd edition)" book code repository and info resource
An open source python library for automated feature engineering
Fit interpretable models. Explain blackbox machine learning.
A scikit-learn compatible neural network library that wraps PyTorch
:book: [译] scikit-learn(sklearn) 中文文档
PipelineAI Kubeflow Distribution
Visual analysis and diagnostic tools to facilitate machine learning model selection.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
The "Python Machine Learning (3rd edition)" book code repository
Jupyter notebooks from the scikit-learn video series
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.
Hummingbird compiles trained ML models into tensor computation for faster inference.
a delightful machine learning tool that allows you to train, test, and use models without writing code
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
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.