Keras

🦠 Detect chicken diseases early by analyzing fecal images, reducing mortality and losses in poultry farming with advanced deep learning and MLOps.

🩺 Predict heart disease risk using ANN and ML models through advanced data analysis and model evaluation for accurate health insights.

🔍 Explore and test the CVE-2025-49844 (RediShell) vulnerability in Redis with this practical lab environment for secure education and research.

🔍 Analyze Twitter sentiment by classifying tweets into Positive, Negative, Neutral, and Irrelevant categories using machine learning models.

MyLuna is a smart wellness app for tracking periods, logging daily moods, and chatting with an AI assistant. It features LunaCycle, MyLoom Diary, and Devi chatbot, built with Node.js, MongoDB, and Gemini API.

Welcome to my repository for the DeepLearning.AI TensorFlow Developer Professional Certificate course! Explore assigments, quizzes, and practice labs where I've developed skills in building, training, and optimizing Deep Learning models with TensorFlow 2.x and Keras.

Minimalist MNIST implementation with two hidden layers written in C

A bridge between the keras and tidymodels frameworks

Fast Track AI Model Training with Streamlit Vision to Production in 2026

🎓 机器学习与深度学习实战教程 | Comprehensive ML & DL Tutorial with Jupyter Notebooks | 包含线性回归、神经网络、CNN、RNN等完整教程

Sentiment Analysis using SimpleRNN | Deep Learning | NLP | IMDB Dataset | 85%+ Accuracy | Live Demo Available

Archive of Deep Learning & Bio-AI projects. Bridging Wet-Lab Biology with Computational Intelligence using TensorFlow & Keras.

Netflix-style movie recommendation system using Neural Collaborative Filtering (NCF), TensorFlow, and Streamlit with the MovieLens 10M dataset.

NEAT (Nash-Equilibrium Adaptive Training) is a Keras first optimizer for conflict aware training, with an explicit NumPy reference engine, a small practical API, and optional native CPU acceleration.

Data Scientist | ML Developer | AI Solutions Developer. Passionate about transforming data into actionable insights and building intelligent systems. Specialized in Python, Machine Learning, Power BI, and FastAPI. Open to collaborations and opportunities.

Open standard for machine learning interoperability

Explore Arabic speech AI end-to-end: datasets, models, benchmarks, and production tools for STT, TTS, and dialect-focused tasks.

Automate Adopt Me farming, pet collection, and trades with this free Roblox GUI hack—save time and progress faster.

Classify movie review sentiment using a Bidirectional LSTM network trained on the Stanford IMDB dataset with TensorFlow and Keras.

Track hardware performance and frame rates in real time on Windows 10 and 11.