Machine learning, in numpy

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Gorse open source recommender system engine

Postgres with GPUs for ML/AI apps.

Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

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

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

A curated list of Best Artificial Intelligence Resources

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

PostgreSQL vector database extension for building AI applications

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）

⚠️ [ARCHIVED] This version has been archived as of october 2024 and will not be updated anymore, please refer to the README for a link to the new version. This is the official repository for the Recommender Systems course at Politecnico di Milano.

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means