Machine-Learning-Rare-Event-Classification

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.

Gorse open source recommender system engine

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.

A python library for decision tree visualization and model interpretation.

Easily compute clip embeddings and build a clip retrieval system with them

For extensive instructor led learning

JVector: the most advanced embedded vector search engine

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

Blazing fast framework for fine-tuning similarity learning models