machile-learning
There are 54 repositories under machile-learning topic.
allenai/dolma
Data and tools for generating and inspecting OLMo pre-training data.
chiragbiradar/DDoS-Attack-Detection-and-Mitigation
SDN networks (Software Defined Networking ) are exposed to new security threats and attacks, especially Distributed Denial of Service (DDoS) attacks. For this aim, we have proposed a model able to detect and mitigate attacks automatically in SDN networks using Machine Learning (ML)
iago-suarez/beblid-opencv-demo
How to improve a 14% your image matching with only one line of code? BEBLID is the key!
maneprajakta/Digit_Recognition_Web_App
A Hand Written Digit Recognition app trained on the MNIST dataset of Keras using the CNN model. skills used are Tensorflow, HTML,CSS,javascript.
akshah1997/Heart-Disease-Analysis-and-Prediction-Front-End
Front end for Heart Disease Analysis and Prediction Project
igerardoh/house-price-prediction
MLP Regression model to predict quantitative data
jmdieguez/unity-ai
Proyecto de entrenamiento de modelos de IA con aprendizaje por refuerzo (reinforcement learning) en Unity. Corresponde al trabajo práctico grupal de la materia INTELIGENCIA ARTIFICIAL (9525) de la Facultad de Ingeniería de la Universidad de Buenos Aires. Link a la demo (el comportamiento de los agentes puede verse afectado de forma negativa):
yassouali/ml-blog
:computer: Personal blog/website, built using Jekyll & Github pages.
aiporre/gcn_segmentation
Stroke-GFCN: segmentation of Ischemic brain lesions
mayurnewase/MimicIO
Clone your favorite voice for your script
majobasgall/smote-mr
SMOTE-MR: A distributed Synthetic Minority Oversampling Technique (SMOTE) for Big Data which applies a MapReduce based-approach. SMOTE-MR is categorized as an `approximated/ non exact` solution. Also, there is an `exact` solution called SMOTE-BD written by the author (See: https://github.com/majobasgall/smote-bd)
nitesh585/APTOS-2019-Blindness-Detection
Kaggle Competition...
simonyelisey/hse_masters
Master's program ''Machine learning and high-load networks'' at the Higher School of Economics.
realharshgautam/House-Price-Estimator
Real-Estate Price Predictor is a machine learning project developed to assist users in estimating the price of real estate properties based on various features such as location, size, amenities, etc. The project utilizes supervised learning algorithms to train models on historical real-estate data and predicts prices for new properties.
andreazevedo/robocar
Self-driving toy car built in C++ with raspberry pi, opencv, and tensorflow.
kingsdigitallab/creativeai-symposium
Code for the KDL presentation at the Creative AI: Theory and Practice symposium
Lobazok/BidanJs
[IN DEVELOPMEN] JavaScript AI engine Focused on simplicity of use
matindra/insurance-premium-prediction-project
To give people an estimate of how much they need based on their individual health situation. After that, customers can work with any health insurance carrier and its plans and perks while keeping the projected cost from our study in mind. I am considering variables as age, sex, BMI, number of children, smoking habits and living region to predict.
meeyth/toxic-comment-classification
Toxic comment classification with Flask API
micaelleos/TCC_ECN_detection
Implementação de algoritmos de aprendizado de máquina para detecção de doença em radiografias.
nkymut/ml4d
machine learning for design
saikuNoCoda/HackWithInfy-SmartRefrigerator
A program made using DeepAI and python for smart refrigerator for HackWithInfy Hackathon
Samyak-Soni/News-Analysis-2.0
This repo contains a project based on Streamlit library which focus on news analysis
SubhangiSati/Enhanced-Diagnosis-of-Diabetic-Retinopathy-Utilizing-Convolutional-Neural-Networks
This project focuses on detecting Diabetic Retinopathy (DR) from retinal images using machine learning models. The goal is to classify images based on the severity of DR using deep learning techniques. This project uses models like ResNewt50, VGG16, InceptionV3.
ayan6943/Mileage-Prediction-ML-Project
Developed a linear regression model to predict vehicle fuel efficiency (miles per gallon, mpg) based on features such as engine displacement, horsepower, and weight.
Gabriel-limadev/data_science_study
📊 My trajectory of studies with data science
Gabriel-limadev/linear_regression_project
💡Analyzing customer data to predict decision making
Indrajit-2001/Attendence-Using-Face-detection
Developed a machine learning-based smart attendance system using Python. The system utilizes a webcam to recognize faces and automatically records attendance. An Excel sheet is generated to document the attendance data, enhancing efficiency and accuracy in tracking student presence.
mm-mehran79/ML
Machine Learning Course - Fall 2022 - Lecturer : Dr. Sajjad Amini
arizdn234/Spotify-API-with-colab
Crawling, Analyzing, Clustering music data from Spotify API
aryankashyap7/Facial-Image-Classification
AI Driven Face Recognizer Model
JasurbekErgashev/realsoft-ai-tasks
Assigned tasks and their solutions during RealsoftAI intership program
kirkgo/vinicultura-embrapa
REST API to analyze Embrapa wine growing data
paulpascal/g7_data_collection_work
Ce repertoire contient les travaux de Data Collection du Groupe 7
taheer1234/Image-Classifier
A Binary Image Classifier that classifies an image of a person to either happy or sad.