hamedmx Goto Github PK
Name: HamedK
Type: User
Company: Toronto Metropolitan University (Ryerson Univ.)
Bio: Research Assistant, Ph.D. Candidate in Computer Engineering
Location: Toronto, ON, Canada
Name: HamedK
Type: User
Company: Toronto Metropolitan University (Ryerson Univ.)
Bio: Research Assistant, Ph.D. Candidate in Computer Engineering
Location: Toronto, ON, Canada
Summaries of papers on machine learning, computer vision etc.
Exploration of dataset https://archive.ics.uci.edu/ml/datasets/SUSY
Machine Learning Privacy Meter: A tool to quantify the privacy risks of machine learning models with respect to inference attacks, notably membership inference attacks
Deep learning implementation using the concept of differential privacy
Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).
Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
Movie plots by genre tutorial at PyData Berlin 2016
Python implementation of mRMR (minimum-Redundancy-Maximum-Relevance) for feature selection.
Mutation system for Java programs, including OO mutation operators.
ACL 2018 paper: Probabilistic FastText for Multi-Sense Word Embeddings (Athiwaratkun et al., 2018)
This the draft version of the project for the paper "Adaptive Wiener Filter and Natural Noisy Noise to Eliminate Adversarial Perturbation"
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
Some add-on modules to networkx library
Multilayer Neural Network Implementation in python
A lab of hands-on samples and codes for building neural networks
:memo: This repository recorded my NLP journey.
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
Robust evasion attacks against neural network to find adversarial examples
Python implementation of node2vec to generate node embeddings in a graph
Node2vec with tensorflow
Support scripts for the OAEI evaluation: largebio and phenotype tracks
Ontology Alignment Using GNN Project for EE8209 - Intelligent Systems Graduate Coursework at Ryerson University, Toronto, ON
Training PyTorch models with differential privacy
open datasets for sentiment analysis based on tweets in English/Spanish/French/German/Italian
An Open-Source Package for Network Embedding (NE)
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.