msrocean Goto Github PK
Name: Mohammad Saidur Rahman
Type: User
Bio: Ph.D. Candidate - Rochester Institute of Technology.
Twitter: msrocean
Location: Rochester, NY 14623, USA
Blog: www.rahmanmsaidur.com
Name: Mohammad Saidur Rahman
Type: User
Bio: Ph.D. Candidate - Rochester Institute of Technology.
Twitter: msrocean
Location: Rochester, NY 14623, USA
Blog: www.rahmanmsaidur.com
465 example scripts
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
Implementation of Papers on Adversarial Examples
Research code & algorithms for artificial general intelligence.
http://nlp.seas.harvard.edu/2018/04/03/attention.html
Code for "AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling"
Efficiently computes derivatives of numpy code.
Avalanche: a End-to-End Library for Continual Learning
A curated list of awesome resources related to capsule networks
An index of algorithms for learning causality with data
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
A curated list of amazingly awesome Cybersecurity datasets
Awesome Incremental Learning
A curated list of large language model tools for cybersecurity research.
A collection of awesome penetration testing resources, tools and other shiny things
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Downloads apks from androzoo repository https://androzoo.uni.lu/
Bayesian Deep Learning Benchmarks
Accompanying code for the Medium article
A brain-inspired version of generative replay for continual learning with deep neural networks (class-incremental learning on CIFAR-100; PyTorch code).
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors
🎆 A visualization of the CapsNet layers to better understand how it works
Must-read papers and resources related to causal inference and machine (deep) learning
Main CipherShed Development
Continual Learning tutorials and demo running on Google Colaboratory.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
The Click modular router: fast modular packet processing and analysis (for NS-3)
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.