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knn

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ddbourgin / numpy-ml

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Machine learning, in numpy

machine-learning reinforcement-learning word2vec lstm neural-networks gaussian-mixture-models vae topic-modeling attention resnet bayesian-inference wavenet mfcc knn gaussian-processes hidden-markov-models gradient-boosting wgan-gp good-turing-smoothing

Updated Oct 2, 2020
Python

Jack-Cherish / Machine-Learning

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⚡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

python machine-learning svm regression logistic python3 adaboost smo knn decision-tree navie-bayes-algorithm adaboost-algorithm

Updated Nov 30, 2020
Python

zhenghaoz / gorse

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A recommender system service based on collaborative filtering written in Go

machine-learning data-mining collaborative-filtering bpr recommender machinelearning recommender-system restful-api knn gorse

Updated Dec 14, 2020
Go

MaurizioFD / RecSys2019_DeepLearning_Evaluation

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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.

deep-learning neural-network reproducible-research collaborative-filtering matrix-factorization hyperparameters bpr recommendation-system recommender-system reproducibility recommendation-algorithms knn matrix-completion evaluation-framework content-based-recommendation hybrid-recommender-system funksvd bprmf bprslim slimelasticnet

Updated Nov 13, 2020
Python

TeFuirnever / Machine-Learning-in-Action

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⚡️

⚡️

⚡️《机器学习实战》代码（基于Python3）🚀

svm regression logistic adaboost knn naivebayes decisiontree regression-trees

Updated Feb 5, 2020
Python

kakao / n2

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Open

Need code formatting check process

corona10 commented Dec 1, 2017

N2 does not have code formatting check process before pushing the code.
We need to add the process.

Read more

good first issue help wanted

LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms

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

machine-learning deep-learning random-forest optimization svm genetic-algorithm machine-learning-algorithms hyperparameter-optimization artificial-neural-networks grid-search tuning-parameters knn bayesian-optimization hyperparameter-tuning random-search particle-swarm-optimization hpo python-examples python-samples hyperband

Updated Oct 27, 2020
Jupyter Notebook

lxztju / pytorch_classification

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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

flask deployment random-forest svm cnn pytorch image-classification densenet resnet knn knowledge-distillation resnext label-smoothing

Updated Aug 28, 2020
Jupyter Notebook

alexklibisz / elastik-nearest-neighbors

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

elasticsearch data-engineering locality-sensitive-hashing elasticsearch-plugin knn similarity-search knn-algorithm

Updated Apr 20, 2020
Python

gabrielilharco / snap-n-eat

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Food detection and recommendation with deep learning

nodejs food flask deep-neural-networks deep-learning pytorch food-classification knn fastai resnext food-recommendation

Updated Mar 30, 2020
Jupyter Notebook

saurfang / spark-knn

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k-Nearest Neighbors algorithm on Spark

Updated Feb 16, 2020
Scala

MaurizioFD / RecSys_Course_AT_PoliMi

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

algorithm cython tuning recsys recommender-system knn polimi politecnico-di-milano funksvd bprmf bprslim mseslim puresvd item-knn-recommender p3alpha rp3beta

Updated Dec 14, 2020
Jupyter Notebook

arnaldog12 / Machine_Learning

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

python machine-learning neural-network naive-bayes linear-regression machine-learning-algorithms regression feature-selection logistic-regression kmeans adaboost decision-trees polynomial-regression knn principal-component-analysis redes-neurais-artificiais linear-discriminant-analysis multilinear-regression

Updated Mar 21, 2019
Jupyter Notebook

jayshah19949596 / Machine-Learning-Models

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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

neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning gaussian-mixture-models logistic-regression kmeans decision-trees knn principal-component-analysis dynamic-time-warping kmeans-clustering em-algorithm kmeans-algorithm singular-value-decomposition knn-classification gaussian-classifier value-iteration-algorithm

Updated May 15, 2017
MATLAB

anujdutt9 / Handwritten-Digit-Recognition-using-Deep-Learning

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Handwritten Digit Recognition using Machine Learning and Deep Learning

machine-learning theano deep-learning random-forest tensorflow keras python-3-5 classification mnist-classification convolutional-neural-networks knn svm-model handwritten-digit-recognition

Updated Dec 4, 2020
Python

knn-matting

dingzeyuli / knn-matting

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

extract nearest-neighbor-search vision minutes segmentation foreground knn matting knn-matting vlfeat

Updated Jul 20, 2017
MATLAB

begeekmyfriend / kdtree

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Absolute balanced kdtree for fast kNN search.

algorithm kd-tree knn-search tree-structure kmeans k-means kd-trees knn k-nearest-neighbours kdtrees

Updated Jan 4, 2018
C

myazi / myLearn

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machine learning algorithm

hmm log svm crf linear-regression dnn id3 logistic-regression cart adaboost bayes gmm rf knn softmax-regression kmeans-clustering memm

Updated Jul 24, 2020
C++

gasevi / pyreclab

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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.

rating svd knn implicit-feedback rating-prediction recommendation-algorithm alternating-least-squares

Updated Sep 4, 2020
C++

victorqribeiro / budget

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

javascript app machine-learning machine-learning-algorithms budgeting budget knn k-nearest-neighbours budget-manager

Updated Oct 19, 2018
JavaScript

DedSecInside / Awesome-Scripts

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Open

Update README file

7

PSNAppz commented Sep 18, 2020

Contribute to this repository by updating and beautifying the README.md file.
Pretty easy right?

Read more

HACKTOBERFEST good first issue help wanted

Open

Scripts

25

zhengyima / mnist-classification

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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）

machine-learning deep-learning svm scikit-learn cnn python3 pytorch mnist rnn mnist-classification logistic-regression mlp knn

Updated Oct 16, 2020
Python

imRishabhGupta / Indian-Sign-Language-Recognition

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

opencv svm sign-language kmeans knn bag-of-visual-words hand-gesture-recognition

Updated Oct 1, 2020
Python

lettier / interactiveknn

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Interactive K-Nearest Neighbors machine learning algorithm in JavaScript.

visualization javascript data-science machine-learning gui statistics html5 ai scikit-learn machine-learning-algorithms nearest-neighbor-search classification data-analysis knn interactive-knearest-neighbors k-nearest-neighbours k-nearest-neighbor k-nearest-neighbors

Updated Sep 3, 2020
JavaScript

zlxy9892 / ml_code

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A repository for recording the machine learning code

Updated Jul 15, 2018
Python

soaicbe / ai_all_resources

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A curated list of Best Artificial Intelligence Resources

data-science machine-learning reinforcement-learning resource deep-learning random-forest tensorflow mathematics regression resources artificial-intelligence gan neural-networks rnn convolutional-neural-networks kmeans support-vector-machine decision-trees knn artificial-intelligence-algorithms

Updated Oct 24, 2020
Jupyter Notebook

MBKraus / Predicting_real_estate_prices_using_scikit-learn

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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)

real-estate python machine-learning neural-network random-forest lasso xgboost polynomial ensemble-learning ols decision-trees ridge-regression polynomial-regression knn multi-layer-perceptron amsterdam predicting-housing-prices lasso-regression mlp-regressor knn-regression

Updated Apr 9, 2019
Python

bt3gl / Machine_Learning_Stony_Brook_Grad_Course

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ML classifiers and examples from my graduate class at Stony Brook.

python machine-learning naive-bayes-classifier logistic-regression adaboost knn

Updated Jul 28, 2020
Python

mskimm / ann4s

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Building Annoy Index on Apache Spark

scala spark approximate-nearest-neighbor-search knn

Updated Dec 20, 2018
Scala

LiuXiaolong19920720 / opencv-soduko

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Solve soduko in a image based on OpenCV and Python

python opencv sudoku knn

Updated Jun 14, 2017
Python

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