100 Days of ML Coding

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Python Data Science Handbook: full text in Jupyter Notebooks

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

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.

Your new Mentor for Data Science E-Learning.

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

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

Open standard for machine learning interoperability

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

Open Machine Learning Course

Parallel computing with task scheduling

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

An open source python library for automated feature engineering

Automated Machine Learning with scikit-learn

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

PipelineAI Kubeflow Distribution

📖 [译] scikit-learn（sklearn） 中文文档

A scikit-learn compatible neural network library that wraps PyTorch

Jupyter notebooks from the scikit-learn video series

Fit interpretable models. Explain blackbox machine learning.

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

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

AutoGluon: AutoML Toolkit for Deep Learning

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.

🍊 📊 💡 Orange: Interactive data analysis https://orange.biolab.si

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

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

Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn.

Python Cheat Sheet NumPy, Matplotlib