AlgorithmsOnSpark

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

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

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

Factorization Machine models in PyTorch

TensorFlow implementation of an arbitrary order Factorization Machine

Blazing fast framework for fine-tuning similarity learning models

TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

Voice Conversion With Just Nearest Neighbors

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）