DataMiningNotesAndPractice

Visualizer for neural network, deep learning and machine learning models

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.

? Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

machine learning and deep learning tutorials, articles and other resources

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

OpenRefine is a free, open source power tool for working with messy data and improving it

PyTorch implementation of the U-Net for image semantic segmentation with high quality images