The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.

500 AI Machine learning Deep learning Computer vision NLP Projects with code

LLM Finetuning with peft

Tools to Design or Visualize Architecture of Neural Network

This is Andrew NG Coursera Handwritten Notes.

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

365 Days Computer Vision Learning Linkedin Post

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

A curated list of applied machine learning and data science notebooks and libraries across different industries.

This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.

Four Courses Specialization Tensorflow in practise Specialization

ashishpatel26

Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy

Cuda installation on WSL2 Ubuntu 20.04 and Windows11

AI Agent Work shop include Agent from Corepython, using CrewAI and Using SmolAgent

Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformer

Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy. Practice Skills Binary classification Python and R basics

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

LLM Engineering CrashCourse

List of articles related to deep learning applied to music

Last Minute Note of Machine learning and Deep learning by Jason Brownlee

Tensorflow Advanced Technique Specialization

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification on HAM10000 dataset largescale data.

Computer Vision Industry Use Cases

Machine learning notes that make your reading easy

Association rule mining is a technique to identify underlying relations between different items.

Coursera Guided Projects 2021

No description.

CVPR 2024 Research Paper with Code

Awesome Pytorch Tutorials

Agentic RAG with MCP Server

Here my amazing tutorial collection contain amazing notebook must read. It's contain pytorch, Advance pandas, Ensemble learning, Tensorflow, Genetic Algorithms, Dask, Word Embedding

Facial Expression Recognization using JAFFE

Unified multi-layer caching library for AI/agent pipelines — LangChain, LangGraph, AutoGen, CrewAI, Agno, A2A

Data Science Cheat Sheet is help to remind code with in minute and also useful to recall the code.Collecting at one place so everyone can access easily and learn.In this we have collected all cheat sheet from the web which is contain basic learning for python and R with Machine Learning and Data Science.

Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The amount of financial data on the web is seemingly endless. A large and well structured dataset on a wide array of companies can be hard to come by. Here I provide a dataset with historical stock prices (last 5 years) for all companies currently found on the S&P 500 index.

A python library for the following Metaheuristics: Adaptive Random Search, Ant Lion Optimizer, Arithmetic Optimization Algorithm, Artificial Bee Colony Optimization, Artificial Fish Swarm Algorithm, Bat Algorithm, Biogeography Based Optimization, Cross-Entropy Method, Crow Search Algorithm, Cuckoo Search, Differential Evolution

Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson

No description.

No description.

Repo for the Complete Agentic AI Engineering Course

Advanced Machine Learning and Signal Processing IBM

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

This course teaches beginners how to use CrewAI with FastMCP server access through step-by-step programming examples.

Langgraph-SelfPaced-Course Step by Step

𝑫𝒆𝒗𝑶𝒑𝒔 𝑹𝒆𝒂𝒍 𝑾𝒐𝒓𝒍𝒅 𝑷𝒓𝒐𝒋𝒆𝒄𝒕𝒔 𝒇𝒐𝒓 𝑨𝒔𝒑𝒊𝒓𝒊𝒏𝒈 𝑫𝒆𝒗𝑶𝒑𝒔 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓𝒔 [𝑩𝒆𝒈𝒊𝒏𝒏𝒆𝒓 𝒕𝒐 𝑨𝒅𝒗𝒂𝒏𝒄𝒆𝒅]

Best Collection of Articles and code for Audio Classification

Implementation of 17+ agentic architectures designed for practical use across different stages of AI system development.

The paper list of "Memory in the Age of AI Agents: A Survey"

Create informative READMEs effortlessly using AI-driven templates with the README Creator powered by Language Model (LLM). Simplify documentation and enhance project communication.

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

This is the official companion repository for the book The Complete LangGraph Blueprint: Build 50+ AI Agents for Business Success. The repository provides source code, practical examples, and resources to help you build dynamic AI agents using LangGraph, a cutting-edge graph-based framework for artificial intelligence workflows.

This is a repository for the course "From Beginner to LLM Developer" by Towards AI.

Projects & Resources to help you become a better AI Developer.

Codes/Notebooks for AI Projects

Learn Agentic AI using CrewAI, LangChain, LangGraph, and Knowledge Graphs.

KnowledgeGraphLLM

From Research to Production: The Industrialization of NLP to Large Language Model Engineering

Hands-On Learning in Computer Vision

AI Agent with comprehensive observability using LangGraph, CrewAI, and Langfuse

No description.

Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.

SmolAgentWithMCP enables developers to build powerful AI agents that integrate multiple MCP tool servers, like Brave Search, with LLMs for enhanced, real-time question-answering and tool orchestration.

Collection of notebooks for time series analysis

No description.

Repository for the code developed in the context of my thesis entitled "Malware Detection in Android Applications with Machine Learning Techniques" for the MSc in Computer Science and Engineering at Lisbon Institute of Engineering (ISEL).

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Implementing the 4 agentic patterns from scratch

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

Collection of AI Agent and RAG

100 Days of ML Coding

An awesome & curated list of best open source MLOps/LLMOps tools for data scientists.

🤖 Open-source GenBI AI Agent that empowers data-driven teams to chat with their data to generate Text-to-SQL, charts, spreadsheets, reports, and BI. 📈📊📋🧑‍💻

Complete educational guide with 100+ working code examples for building production-ready AI agents using the OpenAI Agents SDK. Learn to build and deploy scalable multi-agent systems in under 2 hours, going straight from 'Hello World' to enterprise deployment with Docker, Kubernetes, safety guardrails, and monitoring.

"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.

Learn Model Context Protocol with Python, published by Packt

This repository will have different projects using AutoGen and Tutorials

No description.

Complete-Life-Cycle-of-a-Data-Science-Project

CodeVisualizer is a powerful VS Code extension that provides two main visualization capabilities: function-level flowcharts for understanding code control flow, and codebase-level dependency graphs for analyzing project structure and module relationships.

Tired of AI agents with limited memory? This project demonstrates how to supercharge LangChain agents by giving them direct access to your local file system. The agent can intelligently search, read, and use information from your documents to provide rich, context-aware answers.

An implementation of a computer use agent (CUA) using LangGraph

Claude Code. Any Model. The most powerful AI coding agent now speaks every language.

PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides

Course notes for Data Science related topics, prepared in LaTeX

The Python Code Tutorials

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

DigitalPlat FreeDomain: Free Domain For Everyone

DataCo SMART SUPPLY CHAIN FOR BIG DATA ANALYSIS

System Design Preparation roadmap, topics, books

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

simple terminal UI for git commands

The Machine Learning Solutions Architect Handbook, published by Packt

AI Agent and MCP Server Course

Devops Guide Which Contains New Appoach Scenario Based Learning

Transform geospatial relations into graphs for GNNs and spatial network analysis

Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA

A collection of 100+ specialized Claude Code subagents covering a wide range of development use cases

Course: Deep Learning

Build an MCP agent using Crewai

Context Engineering Course with DSPy

No description.

https://huggingface.co/learn/mcp-course/

Consent AI as per DPDP 2023 India Law

A Python package that makes it easy for developers to create AI apps powered by various AI providers.

Prompt, run, edit, and deploy full-stack web applications using any LLM you want!

Awesome Reasoning LLM Tutorial/Survey/Guide

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

🎓 Sharing machine learning course / lecture notes.

DevOpsCommandHub

This repository will contain all the presentations, content, hands-on python notebooks for a full day Agentic AI workshop on Building Simple and Complex Agents, Deploying and Monitoring AI Agents with LangGraph for the DataHack Summit 2025 conference.

scikit-learn cookbook third edition, published by Packt

Original Author link : https://github.com/charlesliucn/stars-collection

Build resilient language agents as graphs.

Building reliable Retrieval Augmented Generation(RAG) AI Architecture

Open-source AI agent for web automation and scraping.

Premium React atlas for 500+ AI agent projects

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

No description.

QAEngine

Realtime Voice Assistant

No description.

LangGraph-powered ReAct agent with Model Context Protocol (MCP) integration. A Streamlit web interface for dynamically configuring, deploying, and interacting with AI agents capable of accessing various data sources and APIs through MCP tools.

Improve insights to make smarter decisions by tapping into real-time data with retrieval-augmented generation (RAG).

A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.

How to Setup Kubernetes MCP in kilocode

An MCP extension package for OpenAI Agents SDK

LLMs in Finance - Generative AI - AI Agents

Agno is a lightweight library for building multi-modal Agents

A simple screen parsing tool towards pure vision based GUI agent

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

A comprehensive tutorial series on Image Formation and Camera Calibration in Python with example

Website to Knowledgebase

No description.

All the resources you need to get to Senior Engineer and beyond

A curriculum for learning about gpu performance engineering, from scratch to what the frontier AI labs do

Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

136+ free browser-based tools for productivity & developers. 100% client-side — no servers, no uploads, full privacy. Image & on-device AI tools, file/format converters, code formatters, calculators, generators, and more.

Master Playwright with TypeScript—from your first test to production-scale automation frameworks.

Windows dev environment bootstrap (fonts, terminals, oh-my-posh, Clink, PSReadLine)

Carefully curated resource links for data science in one place

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

A collection of MCP servers.

This repository contains resources, documentation and artifacts describing LLM agents

CrewAI-Python-React

Created with StackBlitz ⚡️

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

A curated list of awesome reinforcement courses, video lectures, books, library and many more.

List of Computer Science courses with video lectures.

Oxford Deep NLP 2017 course

this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack

.pdf Format Books for Machine and Deep Learning

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Contains slides and hands-on tutorials for understanding and implementing Transformers in Natural Language Processing. Uses the HuggingFace Transformers framework in the hands-on tutorials.

Slides, material and solutions of the popular Statistical Learning course from Stanford's own Hastie & Tibshirani. Join me on my journey to finally try and complete this course after leaving it mid-way atleast 3-4 times due to other commitments!

Must-read papers on recommendation systems (RecSys)

Skills for coding agents

Lightweight Windows RAM cleaner - 142KB, no runtime deps, purges standby list

Secure, Fast, and Extensible Sandbox runtime for AI agents.

The Microsoft community Windows Package Manager manifest repository

🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

FastAPI based CI CD pipeline

claude-agent-sdk-python

The agent that grows with you

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Toturial coming with "data science roadmap" graphe.

Natively - Free open-source AI interview copilot & meeting assistant. The best Cluely alternative, Final Round AI alternative, and Interview Coder alternative. Real-time transcription, undetectable stealth mode, local RAG, BYOK. No subscriptions. No data breaches.

Garry's Opinionated OpenClaw/Hermes Agent Brain

OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training

FinRobot: An Open-Source AI Agent Platform for Financial Applications using LLMs 🚀 🚀 🚀

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

This is a repo for a number of examples using the smolagents framework from Hugging Face.

Production-Grade Container Scheduling and Management

GitHub Pull Requests for Visual Studio Code

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.

Python static typing home. Hosts the documentation and a user help forum.

Google Research

A fork of Windows Terminal with native agent integration, right in your command line.

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

AI-powered QA Engine — automated test suite generation for any repo

CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies

Pre-indexed code knowledge graph for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local

Data validation using Python type hints

A list of developer portfolios for your inspiration

Interactive architecture diagrams for codebases

A high-throughput and memory-efficient inference and serving engine for LLMs

No description.

The most customisable and low-latency cross platform/shell prompt renderer

OpenCluely is a free, open source Cluely (alternative), built for technical interviews like DSA, OAs, and CP. It offers an invisible overlay, real-time AI help, Smart Image Processing for question capture, and multi-language support—100% customizable and private.

Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.

This repository will contain all the presentations, content, hands-on notebooks for a full day Generative AI workshop on Training, Fine-tuning Large Language Models for the DataHack Summit 2024 conference.

A collection of notebooks, cookbooks, and recipes showcasing fun and effective ways to use CrewAI's agentic workflow implementations and tools.

⏩ Generating speech in a single forward pass without any attention!