👁️ Deploy YOLO11 for efficient computer vision on edge devices, optimized for the Horizon X5 RDK with a streamlined C++ codebase.

🔍 Use a pretrained YOLOv11 model for efficient image object detection, enabling quick comparison of original images and model outputs.

🖥️ Explore algorithms implemented in Python, showcasing various techniques for learning, testing, and improving coding skills. Join us and contribute!

🏠 Predict house prices using advanced regression techniques with this comprehensive analysis and cleaning project, from data loading to model deployment.

🖼️ Create stunning fashion photoshoots using AI-generated models, transforming the way brands showcase their clothing in minutes.

Foundation-Models chat app tutorial for iOS with on-device LLMs, tools, and chat. Shows on-device inference with FoundationModels and calendar tool use. 🐙

Real-Time Stock Predictor offers a streamlined way to analyze stock market trends using live data. 📈 With powerful features and efficient algorithms, it empowers users to make informed trading decisions. 🐱💻

A flexible PHP library providing access to various AI models (Gemini, OpenAI, Anthropic, DeepSeek, Grok) via a consistent interface.

🎥 Generate videos from images effortlessly with the Wan 2.2 Google Colab template, featuring one-click setup and optimized workflows for free GPU use.

This repository helps you learn Python and Machine Learning from scratch.

Detectron2 implementation of DA-Faster R-CNN, Domain Adaptive Faster R-CNN for Object Detection in the Wild, Computer Vision and Pattern Recognition (CVPR) 2018

Setup guides and tutorials for platform integrations (mostly surrounding N8N or other Cloud Deployments)

Multi-class Medical CXR Image Classification using Traditional ML, Ensemble Learning and Deep Learning (CNN)

Copy Shared Drive to MyDrive Free - Unlimited Backup Google Drive using Colab

Wetlands flooding extent and trends using SATellite data and Machine Learning v2.0

First hands-on implementation - Integrating Groq's Llama 3.3 LLM using LangChain in Google Colab. Learning secure API management and basic model invocation.

🧠 This repository features an agentic, Retrieval-Augmented Generation (RAG) system powered by LangChain, FAISS, Hugging Face, and Ollama, running in Google Colab for portfolio support. It integrates document retrieval, dynamic entity extraction, and external API calls to generate context-aware responses with an interactive AI assistant.

Mechanical-property datasets, figures, and Colab notebooks for LPBF-built super duplex stainless steel 2507 (UNS S32750), including AS and post-processed conditions.

An Advanced Computer Vision Tracking Platform. Train, test, and deploy cutting-edge object tracking models with precision and ease. Powered by machine learning and real-time processing.

Automated workflow for processing email PDF attachments, extracting data, and integrating multiple data sources