mchapariniya Goto Github PK
Name: Masoumeh Chapariniya
Type: User
Bio: Innovative Artificial intelligence Engineer with a demonstrated history of working in the information technology and services industry. Highly experienced in wr
Name: Masoumeh Chapariniya
Type: User
Bio: Innovative Artificial intelligence Engineer with a demonstrated history of working in the information technology and services industry. Highly experienced in wr
Video datasets
papers collection and understanding for video person re-identification
Pytorch VQA : Visual Question Answering (https://arxiv.org/pdf/1505.00468.pdf)
[ACMMM 2023] BMMAL: Towards Balanced Active Learning for Multimodal Classification
CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition
Source Code for CS Courses Offered by Ali Hejazizo
Example code and applications for machine learning on Graphcore IPUs
A pytorch &keras implementation and demo of Fastformer.
A Pytorch Implementation of HED (Holistically-Nested Edge Detection algorithm) for Document Detection
Source Codes for "Human-object Relation Network for Action Recogntion in Still Images"
iranian car license plate recognition with yolo object detection and cnn lstm ctc loss
A Large-scale Dataset of Farsi License Plate Characters
Official PyTorch implementation of paper Leveraging Unimodal Self Supervised Learning for Multimodal Audio-Visual Speech Recognition (ACL 2022)
Detects license plate of car and recognizes its characters
license plate detection and recognition in unconstrained scenarios
Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.
Meta-Transformer for Unified Multimodal Learning
Implementations of some methods in news recommendation.
An NLP-based recommender system for the MIND-small dataset.
Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
An interactive document scanner built in Python using OpenCV featuring automatic corner detection, image sharpening, and color thresholding.
A Language Processing Toolkit for Persian
This repository contains all material related to the project done as a part of the course Algorithmic Approaches to Computational Biology (CS6024) in the Fall 2020 semester.
Polycystic Ovary Syndrome (PCOS) is a widespread pathology that affects many aspects of women's health, with long-term consequences beyond the reproductive age. The wide variety of clinical referrals, as well as the lack of internationally accepted diagnostic procedures, have had a significant impact on making it difficult to determine the exact etiology of the disease. The exact histology of PCOS is not yet clear. It is therefore a multifaceted study, which shares genetic and environmental factors. The aim of this project is to analyse simple factors (height, weight, lifestyle changes, etc.) and complex (imbalances of bio hormones and chemicals such as insulin, vitamin D, etc.) factors that contribute to the development of the disease. The data we used for our project was published in Kaggle, written by Prasoon Kottarathil, called Polycystic ovary syndrome (PCOS) in 2020. This database contains records of 543 PCOS patients tested on the basis of 40 parameters. For this, we have used Machine Learning techniques such as Logistic Regression, Decision Trees, SVMs, Random Forests, etc, A detailed analysis of all the items made using graphs and programs and prediction using Machine Learning Models helped us to identify the most important indicators for the same.
Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )
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.