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Name: Zahra Dehghanian
Type: User
Company: PH.D. Candidate of Artificial Intelligence at Sharif university of technology
Location: Tehran, Iran
Name: Zahra Dehghanian
Type: User
Company: PH.D. Candidate of Artificial Intelligence at Sharif university of technology
Location: Tehran, Iran
In this repo. first, I use FP-growth algorithm to find frequent itemset (from pyfpgrowth library). second, find closed frequent itemsets and finally, find Maximal frequent itemset.
A list of Medical imaging datasets.
all homework for Microprocessor and Assembly Language Dr.Homayoonpour
In this repo. , I implement Cosine similarity and MinHashing function ( with and / or operator on band ) to find similarity to specific road in real Traffic dataset using PySpark.
In this Repository. I implement a Minimum Distance classifier to detect Numbers in different picture. it was implemented in different section; The description that each part is implemented for, will follow .
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
My Seminar report and Thesis of MSc degree and BSc degree in Amirkabir University of Technology
In this Repository, I implement a multi-class LR with binary LR and one-vs-all technique on Mnist dataset. To test the classifier, I show the accuracy and confusion matrix of train and test set and show 25 random data from test set with true and predicted label.
In this Repo. a Multilayer Perceptron is implemented. Both Regression and Classification task is done on yearpredictionmsd dataset.
Naive Bayes Classifier with K-Fold Cross Validation and ROC Curves (one Vs. all technique) on Wine Data-set.
In this project, a simple Nested Chinese Restaurant Process is implemented. this is done by using HLDA for topic modeling with Gibbs Sampler. this project demonstrates the BBC Insight Dataset for evaluation.
In this repository I implement a basic Neural Network in VHDL . this project has got 3 phase. in first part all function which is needed in future phase is implemented. in second phase a LSTM cell is implemented and at last phase, a simple neural network is built. This is final project for course FPGA , Dr. Sahebzamani.
In this repository I implement a small interpreter for Numex language. this program was written with functional language in Racket. this is final project for course Design and Implementation of programming language, Dr. Fallah
Agent for participating in the Artificial Intelligence Competition implemented with Java for Artificial Intelligence course Dr. Nikabadi
final project for course principle of compiler design ,Dr razazi .
In this Repo. we use a ResNet model with transfer learning to classify pneumonia based on chest X-ray image. this is the first project of course "medical imaging" Dr. Rohban.
A simple RNN-based neural network to create Farsi (Persian) poems, In this Repo. Ferdowsi's Poems (Shahnameh ) is created.
Test AdaBoost, XGBoost, Light GBM, CatBoost, Random Forest, Decision Tree and simple Feed Forward Neural Net for predicting delivery time.
A mix of GAN implementations including progressive growing
Implementation of RCALAD Algorithm based on "Regularized Complete Adversarial Learned Anomaly Detection" paper *official code
basic computer
In this project , I implement SeqSC Algorithm based on "Scalable Sequential Spectral Clustering" paper. Also this repo contains implementation of KNN, Spectral Clustering, SVD, SeqKM, SSVD Algorithms and has got a simple GUI to show the Result of each Algorithm. This project was done under supervision of Dr. Amirmazlaghani
In this Repo. first a SOFM network is implemented to reduce the dimension of pictures and then a multilayer perceptron is used to classify the faces. this project is done on Yale Face dataset : http://vision.ucsd.edu/content/yale-face-database
Implement ProtoPNet idea in Barlow Setup to have an interpretable Barlow Encoder. This is a self-supervised methods to analyze dermatological and medical images.
we will develop a U-Net for semantics segmentation of lung CT-scans. For this project, we will use a dataset consisting of CT-scans from lungs of COVID-19 patients. The regions affected by COVID-19 are marked with labels of ground glass opacity. we will be training and testing the U-Net model on this dataset.
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.