RozhanMK
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A web browser with dynamic data-flow tracking enabled in the Javascript engine and DOM, based on Mozilla Firefox (https://github.com/mozilla-firefox/firefox). It can be used to identify insecure da…
A instrumented variant of the V8 JavaScript Engine
A small deep-learning library to distinguish human and bot from their mouse movements.
The most advanced open-source browser fingerprinting library
A collection of machine learning examples and tutorials.
Compilation of useful documents and scientific papers about Blockchain & cryptocurrencies.
A framework for conducting large scale web privacy studies.
In this repo, I implemented some popular Deep-RL algorithms like DQN and SARSA. Hope you enjoy!
An implementation of Rock Paper Scissors game with real-time refereeing and cheating detection!
Implementing some of the popular models of computer vision on different tasks and datasets.
Useful smart contracts for ERC standards!
OpenZeppelin Contracts is a library for secure smart contract development.
Interactive rock paper scissors game using computer vision techniques
code and data for the time series analysis vids on my YouTube channel
Cryptocurrency portfolio optimizer and simulator (Which coins to buy during a Bitcoin bull run?)
Unlock the potential of latent diffusion models with MNIST! 🚀 Dive into reconstructing and generating digits using cutting-edge techniques like Autoencoders with Channel Attention Blocks and DDPMs.…
A Lightweight Siamese Network trained on the Pins Face Recognition dataset, featuring a graphical web interface
An exploration of simple and attention-based U-Net conditional diffusion models for generating CIFAR-10 images
✨ Dive into image denoising magic! This project uses Attention U-Net and PatchGAN to tackle noise types like low Gaussian and salt-and-pepper noise. Perfect for computer vision, deep learning, and …
Dive into the world of Variational Autoencoders (VAEs) with MNIST! 🎨✨ Explore variable latent sizes (2, 4, 16) to see how they affect reconstruction, latent space visualizations, and performance me…
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A long list of (advanced) JavaScript questions, and their explanations ✨
This is a list of interesting papers and projects about TinyML.
An ultra-simplified explanation to design patterns
A game implementing three search agents (DFS, BFS, and A*) to solve puzzles
This repo contains the official Pytorch reimplementation of the paper "NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications".
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices