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
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
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)🚀
Blazing fast framework for fine-tuning similarity learning models
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)
PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT
Handwritten Digit Recognition using Machine Learning and Deep Learning
This repository contains the code which can recognise the alphabets in Indian sign language for blind using opencv and tensorflow.
A collection of awesome scripts from developers around the globe.
经典机器学习算法的极简实现
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.
A repository for recording the machine learning code
Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
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