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Numpy Ml ⭐ 14,162

Machine learning, in numpy

Gorse ⭐ 8,010

Gorse open source recommender system engine

Machine Learning ⭐ 6,628

⚡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

Postgresml ⭐ 5,135

The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.

Marqo ⭐ 3,893

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

Machine_learning_basics ⭐ 3,754

Plain python implementations of basic machine learning algorithms

Jvector ⭐ 1,115

JVector: the most advanced embedded vector search engine

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

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

Similarity ⭐ 979

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

Ai_all_resources ⭐ 647

A curated list of Best Artificial Intelligence Resources

Quaterion ⭐ 580

Blazing fast framework for fine-tuning similarity learning models

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

Lantern ⭐ 530

PostgreSQL vector database extension for building AI applications

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Machinelearningwithme ⭐ 191

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现

Machine_learning ⭐ 183

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Handwritten Digit Recognition Using Deep Learning ⭐ 158

Handwritten Digit Recognition using Machine Learning and Deep Learning

经典机器学习算法的极简实现

Artificial Intelligence And Machine Learning ⭐ 135

A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

A simply budget app that predicts where the expenses are being made

Machine Learning In Action ⭐ 96

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

A repository for recording the machine learning code

Automatic Identification And Counting Of Blood Cells ⭐ 80

A machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.

Mnist Challenge ⭐ 64

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Predicting_real_estate_prices_using_scikit Learn ⭐ 59

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)

Scalable Feature Store

Sequentia ⭐ 48

HMM and DTW-based sequence machine learning algorithms in Python following an sklearn-like interface.

Machinelearning ⭐ 44

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用s

TiMBL implements several memory-based learning algorithms.

Code for the NLPCC2023 paper "Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings with Language Models"

Malware_detect2 ⭐ 38

Malware Classification using Machine learning

Ml Simulations ⭐ 28

Animated Visualizations of Popular Machine Learning Algorithms

Real_estate_ml ⭐ 28

Machine Learning for Real Estate

Paccmann_kinase_binding_residues ⭐ 27

Comparison of active site and full kinase sequences for drug-target affinity prediction and molecular generation. Full paper: https://pubs.acs.org/doi/10.1021/acs.jcim.1c00889

Official code for "Mean Shift for Self-Supervised Learning"

Extract color palette from an image with k-means and k-NN // Project for the AI/ML class at Hanyang University

Machine Learning Models ⭐ 26

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Qlearnkit ⭐ 26

A python library for quantum machine learning and quantum deep learning, built on top of qiskit and pennylane

Trajectory Analysis And Classification In Python Pandas And Scikit Learn ⭐ 25

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.

The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.

Ocr Machine Learning ⭐ 25

OCR Machine Learning in python

Kawaiisearch ⭐ 25

An application to find similar pictures based on the VGG16 and kNN

Deforestation ⭐ 25

A machine learning exercise, using KNN to classify deforested areas

Predictingclosingpricetomorrow ⭐ 22

Predict the change in closing price from one trading day to the next into one of four bands for any stock using technical indicators and financial ratios as features.

Spot_price_machine_learning ⭐ 20

Machine Learning for Spot Prices

Machine_learning_problems ⭐ 20

This repository contains end-to-end solutions for standard machine learning problems and problem statements shared in interviews

🏭 JavaScript Machine Learning Toolkit

Machine Learning library for python

machine learning framework for node.js

Introduction To Machine Learning ⭐ 17

A document covering machine learning basics. 🤖📊

Amazon Fine Food Review ⭐ 16

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

Dlime_experiments ⭐ 16

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Ai Ml Unit 2 ⭐ 16

Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza

Python Timbl ⭐ 14

python-timbl, originally developed by Sander Canisius, is a Python extension module wrapping the full TiMBL C++ programming interface. With this module, all functionality exposed through the C++ interface is also available to Python scripts. Being able to access the API from Python greatly facilitates prototyping TiMBL-based applications.

Rough set and machine learning data structures, algorithms and tools, including algorithms for discernibility matrix, reducts, decision rules, classification (RoughSet, KNN, RIONIDA, AQ15, C4.5, SVM, NeuralNetwork and many others), discretization (1R, Entropy Minimization, ChiMerge, MD), and tool for interactive and explainable machine learning.

Machine_learning_trading_algorithm ⭐ 13

Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals

Email Spam Detection ⭐ 11

This project focuses on detecting Persian spam emails using machine learning algorithms. The goal is to develop an effective spam detection system using various word embedding techniques and classification algorithms. The project utilizes three word embedding algorithms: TF-IDF, Frequency of Words, and Bag of Words. Additionally, six classification

Sentimentanalysis ⭐ 10

Implemented text analysis using machine learning models to classify movie review sentiments as positive or negative. Built using Python 3.6.1.

Model Free Episodic Control ⭐ 9

Model-Free-Episodic-Control implementation.

Ml Advanced Classifiers ⭐ 9

👾 𝗠𝗟 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗲𝗿𝘀 𝗮𝗻𝗱 𝘀𝗼𝘂𝗿𝗰𝗲 𝗰𝗼𝗱𝗲 𝗳𝗿𝗼𝗺 𝗺𝘆 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝘁 𝗦𝘁𝗼𝗻𝘆 𝗕𝗿𝗼𝗼𝗸

Optimized K Nn ⭐ 8

I try to optimize the k-NN algorithm on MNIST numbers, making it as fast as I can

Machinelearning_exercises_python_scikit Learn ⭐ 8

Python＆機械学習ライブラリ scikit-learn の使い方の練習コード集。機械学習の理論解説付き

A Java implementation of the k-nearest neighbors algorithm

Machine Learning Rare Event Classification ⭐ 7

With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?

Lantern_extras ⭐ 7

Routines for generating, manipulating, parsing, importing vector embeddings into Postgres tables

Cs231n Lecture Notes ⭐ 7

my lecture notes of cs231n of Andrej Karpathy

Clickbait Detector ⭐ 7

This repository represent an AI method to classify an article as clickbait or non-clickbait

Machinelearningalgos ⭐ 7

Personal reimplementation of some ML algorithms for learning purposes

Nndensity ⭐ 7

Implementation of Nearest Neighbor Based Density Estimation

Machine Learning From Scratch ⭐ 7

This project implements the machine learning algorithms from scratch and compares the implementation with sklearn.

Functions and code snippets to help save the time!

Nearest Neighbor Search ⭐ 7

Nearest neighbor search. Methods: LSH, hypercube, and exhaustive search. C++

🐍 algorithm for machine learning

Enron_fraud ⭐ 6

Build a model to predict employees involved in Enron fraud case based on email & financial data set. Use feature selection & engineering, algorithm selection, & model selection based on F1 score, precision, & recall.

Onestep Electron Content ⭐ 6

Content for onestep-electron.github.io

Machine Learning Algorithms

Forecasting Application For Inventory Management ⭐ 6

Oneclassclassifier ⭐ 6

One-class classifiers for anomaly detection (outlier detection)

Census Income Data Set ⭐ 6

Applying machine learning techniques with R to Census Income data set, a.k.a Adult data set.

Session-weighted recommendation system in Python

Customer Purchase Predection ⭐ 5

K-nearest classifier model for an e commerce website to predict whether a user intends to make a purchase or not and display different contents and offers accordingly, like discount offers or coupons, etc.

A library for ML algorithms

Network Intrusion Detection Using Deep Learning ⭐ 5

Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.

Gameratingspredictor ⭐ 5

Quantitative Methods for Computer Science exam project. Machine learning algorithm solves multi-class classification problem of video games content rating (without playing it).

Use the K Nearest Neighbors algorithm to predict the probability of a divorce with high accuracy.

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