XingGAN

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.

The Open Source Feature Store for AI/ML

A library for audio and music analysis, feature extraction.

TransmogrifAI (pronounced tr?ns-m?g?r?-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Human-detection-and-Tracking

Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating?Preserving Image Content"，CVPR‘20 https://arxiv.org/abs/2003.05863

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

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.

Project Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]