AI Agents | Multi-Agent Systems | LLM | Deep Learning | Reinforcement Learning
Mistral-OCR-PDF-Image. This workflow automates the extraction of structured information from PDFs and image files using the Mistral OCR API.
11Trigger-Word-Detection. Coursera - RNN Programming Assignment: In this project, we will construct a speech dataset and implement an algorithm for trigger word detection (sometimes also called keyword detection, or wake word detection).
10Art-Generation-with-Neural-Style-Transfer. Coursera - CNN Programming Assignment: In this project we will take two images - a content image and a style reference image (such as an artwork by a famous painter) - and blend them together so the output image looks like the content image, but “painted” in the style of the style reference image
8Fashion-Clothing-Classification. Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images
8Human-Activity-Recognition-with-Smartphones. Kaggle Machine Learning Competition Project : To classify activities into one of the six activities performed by individuals by reading the inertial sensors data collected using Smartphone.
8n8n_Workflows. Practical projects aimed at deepening the understanding of n8n’s features and workflow automation capabilities.
7Face-Recognition. Coursera - CNN Programming Assignment: In this project, we will build a face recognition system with FaceNet. Face recognition is a method of identifying or verifying the identity of an individual using their face in photos, video, or in real-time
6Image-Segmentation-with-U-Net. Coursera - CNN Programming Assignment: In this project, we will build an image segmentation system with U-Net
6Trading_Strategies. A collection of Python-based trading strategies designed for backtesting and market insights.
6Improvise-a-Jazz-Solo. Coursera - RNN Programming Assignment: In this project, we will implement a model that uses an LSTM to generate music. In the end, we'll even be able to listen to your own music!
5Emojify. Coursera - RNN Programming Assignment: In this project, we'll implement a model which inputs a sentence (such as "Let's go see the baseball game tonight!") and finds the most appropriate emoji to be used with this sentence (⚾️).
4Traffic-Forecasting-using-IoT-Sensor-Data. Demonstrates how to utilize XGBoost for traffic forecasting using data gathered from IoT sensors, highlighting its efficiency in processing complex datasets and delivering accurate predictions.
4Machine-Learning-for-Predictive-Maintenance. Demonstrate the application of machine learning on a real-world predictive maintenance dataset, using measurements from actual industrial equipment.
4ARIMA-for-Industrial-Production. Explains how to use ARIMA model to forecast future production units, enabling informed decision-making and planning in the electric and gas utilities sector.
3Neural-Machine-Translation. Coursera - RNN Programming Assignment: In this project, we will build a Neural Machine Translation (NMT) using an attention model, one of the most sophisticated sequence-to-sequence models.
3Predicting-Boston-Housing-Prices. Machine Learning Nano-degree Project : To assist a real estate agent and his/her client with finding the best selling price for their home
3Long-Term-Memory-Agent. Build an AI Agent with long term memory using LangGraph
3Google_ADK. This repository contains examples for learning Google's Agent Development Kit (ADK), a powerful framework for building LLM-powered agents.
2Credit-Card-Fraud-Detection. Demonstrates the use of ML for Anomaly Detection for Credit Card Transactions: Identifying Fraudulent Activity using Imbalanced Data
2Temperature-Forecasting-using-IoT-Data. Discover how to harness the capabilities of the Meta (Facebook) Prophet model to accurately predict temperature fluctuations using data collected from IoT sensors.
2Finding-Donors-for-Charity-using-Machine-Learning. Machine Learning Nano-degree Project : To help a charity organization identify people most likely to donate to their cause
2Multi-Agent-AI-Assistant. The system utilizes a "Supervisor Agent" architecture that orchestrates specialized sub-agents to handle different types of tasks. Each agent is designed with specific capabilities to work together as an integrated AI assistant system.
2LangChain-Basics. A Simple LLM application with chat models and prompt templates
2Dinosaurus_Island_Character. Coursera - RNN Programming Assignment: In this project, we are in charge of a special task: Leading biology researchers are creating new breeds of dinosaurs and bringing them to life on earth, and our job is to give names to these dinosaurs. If a dinosaur does not like its name, it might go berserk, so choose wisely!
1RAG-AI-Agent-2.0. AI-powered assistant that indexes Google Drive files to a vector store on upload and answers user queries based on the content.
1RAG_with_LangChain. Leveraging Langchain for a RAG (Retriever Augmented Generation) project, this implementation enables efficient querying across multiple books, enhancing data retrieval and natural language generation for context-rich answers.
1CrewAI-Agent-For-Code-Excecution. An agent that leverages Python to collect, analyze, and interpret datasets, providing data-driven answers.
1LSTM_for_Household_Power_Consumption. This project explores the application of Long Short-Term Memory (LSTM) networks in predicting household power consumption. Using data collected at one-minute intervals, we demonstrate how LSTM can be leveraged for accurate forecasting.
1CrewAI-Agents-MinutesOfMeeting-Gmail. MinutesOfMeeting and Gmail is a collaborative crew of AI agents that autonomously understand audio, transcripts, summarizes, writes and drafts an email in Gmail account.
1Creating-Customer-Segments. Machine Learning Nano-degree Project : To identify customer segments hidden in product spending data collected for customers of a wholesale distributor
1Agent-Architectures-LangGraph. AI Agent Architectures is the complex structures that shape how machines perceive, reason, and act in their environments in the pursuit of autonomous intelligence.
1ai-agents-masterclass. Follow along with my AI Agents Masterclass videos! All of the code I create and use in this series on YouTube will be here for you to use and even build on top of!
1agentic-ai-c4-exercises-demos. This repository contains code for exercises and demos for C4 in the Agentic AI ND.
1second-brain-skills. A collection of Claude Skills to turn Claude Code into a Second Brain
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