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177 search results found

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

Clip Retrieval ⭐ 1,949

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

Jvector ⭐ 1,115

JVector: the most advanced embedded vector search engine

Pytorch_classification ⭐ 1,055

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

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.

Recsys2019_deeplearning_evaluation ⭐ 871

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.

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

Recsys_course_at_polimi ⭐ 346

This is the official repository for the Recommender Systems course at Politecnico di Milano.

Voice Conversion With Just Nearest Neighbors

Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Elastik Nearest Neighbors ⭐ 242

Go to: https://github.com/alexklibisz/elastiknn

Spark Knn ⭐ 205

k-Nearest Neighbors algorithm on Spark

Snap N Eat ⭐ 204

Food detection and recommendation with deep learning

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.

Awesome Scripts ⭐ 175

A collection of awesome scripts from developers around the globe.

Absolute balanced kdtree for fast kNN search.

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

Knn Transformers ⭐ 151

PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT

Mylearn ⭐ 138

machine learning algorithm

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

Knn Matting ⭐ 121

Source Code for KNN Matting, CVPR 2012 / TPAMI 2013. MATLAB code ready to run. Simple and robust implementation under 40 lines.

Pyreclab ⭐ 101

pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.

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

Mobile Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.

Machine Learning Models ⭐ 81

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

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.

Spark Annoy ⭐ 73

Building Annoy Index on Apache Spark

Compress ⭐ 67

Compressing Representations for Self-Supervised Learning

Opencv Soduko ⭐ 66

Solve soduko in a image based on OpenCV and Python

Mnist Challenge ⭐ 64

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

Octree/Quadtree/N-dimensional linear tree

Indian Sign Language Recognition ⭐ 62

This repository contains the code which can recognise the alphabets in Indian sign language for blind using opencv and tensorflow.

Portrait_fcn_and_3d_reconstruction ⭐ 60

This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.

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)

Fast k-Nearest Neighbors Classifier for Large Datasets

Python Implementation of Feature Extraction with K-Nearest Neighbor

Scalable Feature Store

Sequentia ⭐ 48

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

TiMBL implements several memory-based learning algorithms.

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

Data Science Using Python University Course Module ⭐ 40

“Data science” is just about as broad of a term as they come. It may be easiest to describe what it is by listing its more concrete components: Data exploration & analysis. Included here: Pandas; NumPy; SciPy; a helping hand from Python's Standard Library.

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

Malware_detect2 ⭐ 38

Malware Classification using Machine learning

Lio Sam Gpu Scantomapopt ⭐ 33

A CUDA reimplementation of the line/plane odometry of LIO-SAM. A point cloud hash map (inspired by iVox of Faster-LIO) on GPU is used to accelerate 5-neighbour KNN search.

Handwritten Digits Classification Using Knn Multiclass_perceptron Svm ⭐ 32

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Rcpphnsw ⭐ 32

Rcpp bindings for the approximate nearest neighbors library hnswlib

rsa,base64,ac,kmp,svm,knn,mitm,hash table... 🚀

Model Free Episodic Control ⭐ 31

This is the implementation of paper Model Free Episodic Control

Real_estate_ml ⭐ 28

Machine Learning for Real Estate

Portable Hnsw ⭐ 28

Ml Simulations ⭐ 28

Animated Visualizations of Popular Machine Learning Algorithms

Facenet Darknet Inference ⭐ 28

Face recognition using facenet

Amazon Ml Challenge2021 ⭐ 28

Scripts and Approach for Amazon ML Challenge

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

Algorithmsonspark ⭐ 27

Some popular algorithms(dbscan,knn,fm etc.) on spark

Breast Cancer Scikitlearn ⭐ 27

simple tutorial on Machine Learning with Scikitlearn

Qlearnkit ⭐ 26

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

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.

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

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

Deforestation ⭐ 25

A machine learning exercise, using KNN to classify deforested areas

Kawaiisearch ⭐ 25

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

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.

Alpr Indonesia ⭐ 24

Automatic license plate recognition for Indonesian plate (White on black)

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.

Es Clip Image Search ⭐ 21

Sample implementation of natural language image search with OpenAI's CLIP and Elasticsearch or Opensearch.

Gutenberg ⭐ 21

A content-based recommender system for books using the Project Gutenberg text corpus

A header-only C++ library for k nearest neighbor search with Eigen3.

Spot_price_machine_learning ⭐ 20

Machine Learning for Spot Prices

Faiss Mobile ⭐ 20

FAISS library compiled for iOS, macOS, tvOS, watchOS

Machine Learning Techniques ⭐ 20

Repository containing introduction to the main methods and models used in machine learning problems of regression, classification and clustering.

Machine_learning_problems ⭐ 20

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

Instance-based uncertainty estimation for gradient-boosted regression trees

🏭 JavaScript Machine Learning Toolkit

A pure Rust implementation of the fast K Nearest Neighbor (KNN) library for low-dimensional spaces.

Amazon Sagemaker Visual Search ⭐ 18

This repository is part of a blog post that guides users through creating a visual search application using Amazon SageMaker and Amazon Elasticsearch service

Machine Learning library for python

a no_std neural network

Img_classification_deep_learning ⭐ 18

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

Awesome Semantic Search ⭐ 16

Semantic search with embeddings: index anything

Ai Ml Unit 2 ⭐ 16

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

1-100 of 177 search results

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