Jaber Jaber

Open-Source AI Model Visualizer

RightNow AI is a CUDA code editor built for GPU programming with AI.

Arabic LLaMA Math Dataset with No Input

A collection of MCP servers.

Automatically optimize your CUDA kernels using cutting-edge AI. Get 20-50x performance improvements with zero manual effort.

RightNow Arabic LLM Corpus - One of the largest high-quality Arabic text datasets for LLM training

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Dynamic per-token early exit for LLM inference. Skip layers tokens don't need

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Open-source web-based GPU performance visualization tool that transforms NVIDIA profiling data into interactive insights for CUDA engineers. Features timeline views, flame graphs, heatmaps, and AI-powered bottleneck detection.

EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.

The best ChatGPT that $100 can buy.

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Introducing JR's Advanced Encoding Toolkit: a collection of innovative encoding techniques for enhanced data representation. Includes Leave-One-Out, EMW, RBF, and Regularized Linear Regression Encoders. Boost model performance and extract valuable insights from your data.

Arabic SMS Project Detection is a machine learning project that accurately classifies Arabic and translated English SMS messages. It combines Google API for translation, AraBERT pre-trained model, and CNN/LSTM algorithms. Achieving 97.85% accuracy, it provides a comprehensive solution for automated SMS classification.

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agent multiplexer that lives in your terminal.

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Spaceship Titanic Passenger Detection: Exploring Cosmic Mystery with Python & ML. Achieved 80.9% accuracy using data-driven approach. Explore my GitHub repo for code & insights. Competition link: https://www.kaggle.com/competitions/spaceship-titanic

Robust Speech Recognition via Large-Scale Weak Supervision

HTUGPT is an intuitive Arabic question answering website. Get instant answers in Arabic on various topics. Powered by advanced AI models, it offers a user-friendly interface.

Rock Paper Scissors Game: Simple implementation using OpenCV. Compete against the computer by mimicking hand gestures. Just clone, install dependencies, and play! Have fun beating the computer!

this competition hosted by Google DSC-HTU and it challenges participants to analyze shipwreck data. With ensemble learning techniques, I achieved 86.654% accuracy.

Titanic Survival Prediction: Achieved 0.845622 accuracy. Data-driven approach using Python & ML techniques. Explore my GitHub repo for code & insights.

Email Phishing Attempts Detection from the text of email bodies using natural language processing and machine learning

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Smoke Detection Classification using (Logistic Regression and Random Forest Classifier) with accuracy 99.99%

Data Science Job-Salaries EDA

Mobile Price Classification (LogisticRegression, Random Forest Classifier, SVC) with accuracy 95.2%

Hangman game project

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