Machine learning, in numpy
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Updated
Oct 29, 2023 - Python
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)
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
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