Topic: machie-learning Goto Github
Some thing interesting about machie-learning
Some thing interesting about machie-learning
machie-learning,enemy detection in call of Duty :Mobile. Trained on custom dataset.
User: agnibit
machie-learning,API4AI is cloud-native computer vision & AI platform for startups, enterprises and individual developers. This repository contains sample mini apps that utilizes Wine Recognition API provided by API4AI.
Organization: api4ai
Home Page: https://api4.ai
machie-learning,here's code for PCA and it's importance in data reduction to avoid multi-collinearity in dataset.
User: avikumart
machie-learning,This repository contains a collection of Python programs designed to demonstrate various machine learning concepts and techniques. Each program focuses on different aspects of machine learning, providing practical examples and implementations.
User: ayushverma135
machie-learning,🚗 Welcome to the "Intrusion Detection using Machine Learning in Automobiles" repository! 🌟 This project is all about enhancing vehicle security using advanced machine learning techniques. We employ algorithms and statistical models to safeguard your car and its precious cargo against unauthorized access and theft.
User: azazhassankhan
machie-learning,The aim of this project is to use reinforcement learning to solve the Taxi game
User: basselkassem
machie-learning,I am new to artificial intelligence and this is a program I made to test the similarity of an input to a subject, whose data is input at the beginning. I would like to know wether I got the right idea of a machine learning model here and what changes could be made to make it more accurate.
User: belkoishere
machie-learning,Classifiacation of molecules as MUSK or non-MUSK using machine learning model.
User: brintamidya
machie-learning,It is a fully responsive web application that compares two smartphones based on their reviews available on e-commerce sites like Amazon and Flipkart by aspect-based sentiment analysis (ABSA). The application also classifies reviews based on the aspects and corresponding sentiments.
User: chetanniradwar
machie-learning,DeepFovea++: Reconstruction and Super-Resolution for Natural Foveated Rendered Videos (PyTorch).
User: christophreich1996
machie-learning,
Organization: codexcelerate
machie-learning,Develop a prediction model capable of learning to detect whether a transaction is fraudulent or a genuine purchase.
User: ejaj
machie-learning,This is a project that was done for the Skill4U machine Learning program. This project is a Spam email classifier using machine learning. This model uses Gaussian NB algorithm to train the model.
User: hamas-ur-rehman
Home Page: https://hamas-ur-rehman-email-spam-classifier-main-9xiwuk.streamlitapp.com/
machie-learning,EDA and using ML to classify grade range
User: hung20gg
machie-learning,Recently start working on ML .So i decided to share this code with other.
User: injamul3798
machie-learning,exSeek: extracellular RNA analysis tool for noninvasive biomarker
User: james20141606
machie-learning,Prototype provides following functionalities: using CCTV footage, detect whether the distance between two people is more than 6ft or not, predict queue wait time outside the shop and crowd counting.
User: kathans
machie-learning,A light-weight Kaggle challenge to predict crabs' age
User: kwokhing
Home Page: https://www.kaggle.com/competitions/playground-series-s3e16/overview
machie-learning,Son Pham Notebook
User: lamegaton
Home Page: https://lamegaton.github.io/
machie-learning,My professionnal webpage
User: louistier
Home Page: https://louistier.github.io/
machie-learning,
User: luisanibalvasquez
machie-learning,Proyecto grupal para Henry Bootcamp. Una base de datos de un UCI
User: luism18
machie-learning,Python implementation of the algorithm C3E (Consensus between Classification and Clustering Ensembles) based on a Squared Loss function (C3E-SL).
User: luizcoletta
machie-learning,A repository to save my machine learning notes.
User: luozhouyang
machie-learning,This repository contains our work for Task 1 of the ITSOLERA internship, a sentiment analysis project. Using Python and Streamlit, We developed a web application that analyzes text input and predicts the sentiment as positive or negative. The repository includes the complete code for the project.
User: muhammad-shah
Home Page: https://sentiment-analysis-movie.streamlit.app/
machie-learning,Building a Naive Bayes Classifier using math and numpy from scratch
User: musabs2802
machie-learning,The code provided is an example of a basic machine learning project. Specifically, it is an implementation of the k-nearest neighbors algorithm to predict the type of iris flower based on user input of the sepal length, sepal width, petal length, and petal width.
User: noormohammadtalukder
machie-learning,Speech & Audio Algorithms and Machine Learning Interview Questions
User: nuniz
machie-learning,A from scratch ML library that uses a custom architecture so that neurons can be easily inserted & uses a linear activation function I made for fun (NOT MEANT FOR PRODUCTION)
User: randomgamingdev
machie-learning,Servicio API Rest para el consumo de un Dataset de Videojuegos de Steam. Incluye integración de modelo de regresión de Machine Learning.
User: rickhersd
Home Page: https://steam-games-api-services.onrender.com
machie-learning,<Do it! 딥러닝 입문> 도서의 주피터 노트북
User: rickiepark
Home Page: https://tensorflow.blog/do-it-dl
machie-learning,<실무로 통하는 ML 문제 해결 with 파이썬>
User: rickiepark
Home Page: https://tensorflow.blog/ml-cookbook-2/
machie-learning,Sentiment analysis of tweets using machine learning
User: ro-per
machie-learning,This project uses bagging techniques to predict the survival of Titanic passengers. It employs Decision Tree, Bagging, and Random Forest classifiers, trained on passenger attributes like age, gender, ticket class, and fare. The best-performing classifier will be selected for deployment.
User: sarthakkalia
machie-learning,
User: shaikhshoeb01
machie-learning,This project classifies flower images from the Oxford 102 Dataset using K-means clustering for feature extraction and machine learning for classification. It achieves efficient and accurate classification with optimized feature extraction and reduced feature sets.
User: soroush-pasandideh
machie-learning,Deplyoing machine learning Web App which utilises OpenAI API to generate image based on text description of the image.
User: sujal-aggarwal
machie-learning,Executed NLP techniques to analyze the transcripts and determine the sentiment expressed by customers towards different companies. Performed EDA on the dataset to identify key insights and patterns in customer sentiment. • Classified the sentiment as positive or negative.
User: sumedhsp04
machie-learning,Looking at the probability of being accepted in a graduate program using a machine learning model
User: techshot25
machie-learning,Repository of projects from the discipline of data structure II
User: thiagojordao98
machie-learning,Image Segmentation
User: tigranvilasyan
machie-learning,House Price Prediction can help the customer to arrange the right time to Purchase a House. It is An - ML based Approach which Predicts the Estimated Price of Housing in Mumbai City.
User: ujju-27
machie-learning,
User: visweswaran1998
machie-learning,Stanford Machine Learning Course
User: wuhanstudio
Home Page: https://www.coursera.org/learn/machine-learning
machie-learning,Artificial Intelligence and Machine Learning - Team Project - Dice Wars
User: xstupi00
machie-learning,Business analytics, data analysis projects and practices.
User: yuexi-li
machie-learning,
User: yupbank
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.