orxgboost

deep learning for image processing including classification and object-detection etc.

A game theoretic approach to explain the output of any machine learning model.

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.

An open-source, low-code machine learning library in Python

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

All-in-One Development Tool based on PaddlePaddle（飞桨低代码开发工具）

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

An easy to use PyTorch to TensorRT converter

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.