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
FLAIR abnormality segmentation in brain MRI
Python wrapper for Blazing Signature Filter
Caffe: a fast open framework for deep learning.
Linux OS for Azure 1P services and edge appliances
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Neural network loss functions for regression and classification tasks that can say "I don't know".
Vanilla CNN example on the MNIST dataset.
A Code-First Introduction to NLP course
parallel word embedding
source code of [Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs](http://proceedings.mlr.press/v108/zantedeschi20a.html)
Data Science Using Python
Datasets for Knowledge Graph Completion with textual information about the entities
Data Shapley: Equitable Valuation of Data for Machine Learning
Experiments with Deep Learning
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This is a python implementation of DeepWalk model that was proposed by Bryan Perozzi
Calculate SimRank for a Networkx graph using the Delta Simrank method within MapReduce framework
Differential Privacy, PATE Analysis for MNIST Dataset
Semantic Similarity Measures using Disjunctive Shared Information
Section Project for Udacity's Secure and Private AI Scholarship Challenge Nanodegree Program: a Differential Privacy model using the Private Aggregation of Teacher Ensembles method on the MNIST dataset
Dropout As A Bayesian Approximation: Code
What My Deep Model Doesn't Know...
Pytorch implementation of the DWP with application to MRI segmentation
Source code for EvalNE, a Python library for evaluating Network Embedding methods on Link Prediction tasks.
Fastai implementation of Evidential Deep Learning to Quantify Classification Uncertainty
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
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.