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Statistical Learning Using R ⭐ 16

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Wind Power Forecasting ⭐ 16

Wind Power Forecasting using Machine Learning techniques.

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).

Artificial Intelligence In Medicine Projects ⭐ 16

Several small AI projects, including basic machine learning algorithms, perceptron neural networks, convolutional neural networks, and semantic segmentation.

Kernelknn ⭐ 15

Kernel k Nearest Neighbors in R

Knnbandit ⭐ 14

Software for the experiments reported in the RecSys 2019 paper "A Simple Multi-Armed Nearest-Neighbor Bandit for Interactive Recommendation"

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.

Drowsiness Detection ⭐ 14

To identify the driver's drowsiness based on real-time camera image and image processing techniques. 졸음운전 감지 시스템. OpenCV

Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.

Fall Detection Dataset ⭐ 13

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

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

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.

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

The Supervised Learning Workshop ⭐ 13

An Interactive Approach to Understanding Supervised Learning Algorithms

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

Retomaton ⭐ 13

PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)

hnswlib golang interface

Crypton X ⭐ 12

Cryptocurrency market cap-price prediction and visualization web app

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

Ai Residential Electricity Bill Prediction ⭐ 11

Prediction of Residential Electricty Bill Amount using Aritificial Intelligence

Fast and efficient statistical tools from the Tanay lab

Sentimentanalysis ⭐ 10

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

Urp Decaptcha ⭐ 10

Python application to DeCaptcha URP System

Elevator Monitor ⭐ 10

Intelligent monitoring of escalator.Function including traffic statistics,passenger retention detection and large object retention detection in escalator floor board. As well as human keypoints extraction and tracking in elevator.

Disease Predictor ⭐ 10

A Django App for predicting Heart disease, Diabetes and Breast Cancer developed using Random Forest Classifier and KNN.

Image Segmentation ⭐ 10

Image segmentation by KNN Algorithm project Report for subject Digital Image Processing (CS1553). This Project has an analysis of K - Nearest Neighbour Algorithm on MRI scans to segment the tumour.

Go Mining ⭐ 10

Data mining with Go.

Archived repo - This R Package is not developed anymore (only maintenance). It was replaced by R package rchemo

Fbdp Project2 ⭐ 9

中文文本挖掘|舆情分析|Hadoop|Java|MapReduce

Satelliteimageclassification ⭐ 9

Pixel based classification of satellite imagery - feature generation using Orfeo Toolbox, feature selection using Learning Vector Quantization, CLassification using Decision Tree, Neural Networks, Random Forests, KNN and Naive Bayes Classifier

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

Aipalettes ⭐ 8

A recommendation system based on Artificial Intelligence to predict best-fit color palettes according to user input

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 GPU (CUDA) implementation, with a python interface, of the approximated KNN graph computation with Random Sample Forest algorithm KNN.

Machinelearningalgos ⭐ 7

Personal reimplementation of some ML algorithms for learning purposes

Functions and code snippets to help save the time!

Nndensity ⭐ 7

Implementation of Nearest Neighbor Based Density Estimation

Revisit Knn ⭐ 7

Code for the CCL2023 paper "Revisiting k-NN for Fine-tuning Pre-trained Language Models."

Machine Learning Rare Event Classification ⭐ 7

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

Knn_movie_recommender ⭐ 7

A movie recommender that recommends movies using the K Nearest Neighbours algorithm from a list of ~5000 movies

Clickbait Detector ⭐ 7

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

Machine Learning From Scratch ⭐ 7

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

Sklearn Ann ⭐ 7

Integration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.

Nearest Neighbor Search ⭐ 7

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

Redis_hnsw ⭐ 7

HSNW module for Redis

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

Artificial Intelligence Course Projects S2023 ⭐ 7

AI course projects for problems like searching such as BFS, IDS and A*, genetic algorithms, Minimax tree, Naive bayes for classification, Machine Learning algorithms for anticipating price of houses and a Neural Networks by different approaches(from scratch, pytorch, keras)

A Simple Framework for Image Retrieval

Petal Neighbors ⭐ 7

Nearest neighbor search algorithms including a ball tree and a vantage point tree.

A Java implementation of the k-nearest neighbors algorithm

Machine Learning Algorithms

Food Classification ⭐ 6

A Social Media Management project. Feature collection with BOW. Pics classification with k-NN.

Census Income Data Set ⭐ 6

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

🐍 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.

Data Science Introduction ⭐ 6

Welcome to the Data Science Introduction repository! This repository is designed to provide an introduction to the field of data science, covering various topics and techniques commonly used in the industry.

Oneclassclassifier ⭐ 6

One-class classifiers for anomaly detection (outlier detection)

Knn What How Why ⭐ 6

What is knn? How is knn done? Why is knn needed?

Artificial Intelligence Real Life Problem And Solutions ⭐ 6

All solved lab of FAST NUCES Lahore campus _ 2022 Spring

Forecasting Application For Inventory Management ⭐ 6

This is the server-side of the SiLaTra System. This system is targetted towards the hearing and speech impaired community that use sign language for communicating with each other. But when they communicate with other people outside this community, there is a communication gap. This system is an attempt towards bridging this gap.

Onestep Electron Content ⭐ 6

Content for onestep-electron.github.io

A library for ML algorithms

Machine Learning Bootcamp ⭐ 5

A beginner friendly ML course designed by us at Hermes AI Center for everyone with no prior knowledge in computer science concepts.

Personal Bank Loan Modeling Classification Analysis ⭐ 5

Supervised Machine Learning Analysis Using Classification Models

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.

Libfast_knn ⭐ 5

C++ library of k-nearest neighbors algorithm (k-NN), faster because uses Armadillo lib

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.

Knn Cosine Similarity ⭐ 5

knn with cosine similarity (distance)

Session-weighted recommendation system in Python

Knn Classifier ⭐ 5

K Nearest Neighbors classifier from scratch for image classification using MNIST Data Set.

Pattern Recognition ⭐ 5

LDA, KNN, GA, K-means on Iris, Sonar and USPS datasets.

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.

101-177 of 177 search results

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