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
Distributed Asynchronous Hyperparameter Optimization in Python
Predict the correct class for each object in Cifar-10 dataset using Tensorflow and implementing Convolutional Neural Network
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
InferSent sentence embeddings
Fit interpretable models. Explain blackbox machine learning.
JAMR Parser and Generator
🎐 a python library for doing approximate and phonetic matching of strings.
Reviews for The Journal of Open Source Software
Unit Testing and Program-Level Testing using JUnit, Control Flow Graphs and Branch Coverage Reports on a Java class :white_check_mark::heavy_check_mark::x::heavy_exclamation_mark:
Anonymization methods for network security.
Working with kdd cup 99 Dataset. Using Scikit-Learn, Pandas and Keras. The goal is to create a predictive model of network intrusion detection. I got 99.94% accuracy when I applied a simple Neural Network and 94% when I applied Naive Bayes.
Lime: Explaining the predictions of any machine learning classifier
Simple yet detailed explanation of Logistic regression used in Machine learning problems.
Simulate a federated setting and run differentially private federated learning.
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
Keras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.
MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z-normalized Euclidean distance for similarity.
Code related to blog posts on my Medium page
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
A minimal implementation of autograd (in pure Python) 🍰
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
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.