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Jupyter Notebook agents
2,004 Jupyter Notebook AI agents indexed on MeshKore — the most complete public catalog, ranked by popularity and updated daily.
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Jupyter Notebook agents — page 10 of 21
Unlock AI power with AudioInsightsGenerator! From audio to summaries, emotion analysis, idea generation, narratives, and content filtering. Explore your audio's hidden dimensions!
Retrieval Augmented Generation and Semantic-search Tools
Development of parametric, deep learning, and reinforcement learning agent-based model of car-following behaviour. The models aim to be data-driven, and take into account the heterogeneity of drivers' behaviour and vehicle types. Potential future applications include investigation of a mixed traffic of human-driven vehicles and autonomous vehicles.
Value-Decomposition Networks For Cooperative Multi-Agent Learning
Code for the paper "Searching Privacy Risks in Multi-Agent Systems via Simulation"
Agentic AI Agents, LangChain v1, Gemini 3, Tool Calling, Agent Memory, Prompt Engineering, Guardrails, MCP, FastAPI
Hands-on labs for Microsoft Foundry - Azure's unified PaaS for enterprise AI. Notebooks + Bicep covering provisioning, agents (incl. hosted Copilot SDK + REST), MCP, Foundry IQ knowledge bases, guardrails, red-teaming, and fine-tuning.
Demos of ChatGPT's function calling/structured data support.
This repository will contain projects on multi-agent applications using frameworks such as crewai, langchain, gradio, hugging face etc.
AI4Chem is a code to test the ability of large language models (ChatGPT) to comprehend Chemistry.
This is all in one chatbot. When you start conversation it sees your face and identifies if it has previously talked to you(Not supported in latest versions). It also checks for your emotion in between conversation. This emotion data is then used to help you whenever it detects you are sad or angry. It can search anything you ask on the internet.
A GPT-2-class language model trained from scratch on OpenWebText with the intent to augment AI Transformer-model education and reverse engineer GPT models from scratch.
👨🏽⚖️ LegalEngine - qqmbr team - Junction2017
Wrapper around llama-cpp-python for chat completion with LLaMA v2 models.
Contains interesting projects like Cat face detection, cat face recognition, code generation, Building chatbot, finding similar documents, image segmentation, UCI credit card, anomaly detection, MNIST etc.
Chatbot based Seq2Seq model with bidirectional rnn and attention mechanism with tensorflow, trained on Cornell Movie-Dialogs Corpus and deployed on a Flask Server
A straightforward method to reduce your LLM inference API costs and token usage.
Data pipelines and notebooks for RAG tuning using Fondant
AI foundation and trend seminar tutorial with code
Multi agent system to coordinate multiple UAVs
Practical Jupyter notebooks from Andrew Ng and Giskard team's "Red Teaming LLM Applications" course on DeepLearning.AI.
Translate Markdown files from one language to another using OpenAI's API while retaining original formatting. This Jupyter notebook tokenizes input text, splits into chunks, translates with OpenAI, and reconstructs output to preserve Markdown structure. Useful for localizing documentation, articles, books, and other long-form Markdown content.
Datasets, case studies and benchmarks for extracting structured information from PDFs, HTML files or images, created by the Parsee.ai team. Datasets also on Hugging Face: https://huggingface.co/parsee-ai
LLMOps framework using LangChain, Pinecone and Kubeflow
AI powered career path recommendation system
This project uses a Large Language Model (LLM) with Retrieval-Augmented Generation (RAG) to convert natural language descriptions into executable FreeCAD Python scripts for 3D modeling.
An overview of popular reranking models and architectures for 2 stage RAG pipelines
HackAI Morocco is a 4-day AI hackathon that brings together students from across Morocco for an unforgettable experience filled with innovation, challenges, and learning. This unique event combines technical excellence with creative problem-solving in the field of artificial intelligence.
The AI-Powered Healthcare Intelligence Network is an AI-driven system offering disease prediction, drug recommendations, heart disease risk assessment, and an AI medical chatbot. Using ML, NLP, and LLMs, it provides accurate diagnoses, insights, and recommendations, enhancing healthcare accessibility, efficiency, and decision-making .
Welcome to the RAG University repository! This repository contains code implementations for Retrieval-Augmented Generation (RAG) models, specifically designed for Language Model (LM) tasks. RAG models combine the strengths of both retrieval and generation approaches, enhancing the capabilities of LLMs.
GenAI Playground
The LangChain Crash Course Repository is a concise and comprehensive collection of learning materials for the LangChain programming language.
This is a One Shot Course on Strands Agents with Notebooks, Scripts, resources and Projects to take you from Zero To Hero in Strands Agents SDK usage in your Agentic AI Journey
Build your faq virtual agent in 5 minutes
Model uses Whisper, CHATGPT, GTTS
Create your own ChatGPT with Python
Building a GPT-4 Q&A app using Azure OpenAI, Pinecone and Streamlit in just a couple of hours
LEMMA: An effective and explainable way to detect multimodal misinformation with LVLM and external knowledge augmentation, incorporating the intuition and reasoning capbility inside LVLM.
Baymax is a multilingual medical ecosystem capable of diagnosing diseases remotely. It aims to improve healthcare accessibility in rural and remote parts of India. The chatbot uses AI/ML technologies for efficient disease diagnosis and patient support.
Agent-OM: Leveraging LLM Agents for Ontology Matching
Contextual Engineering Pipeline
An extensible multi-agent Research Assistant that uses Gemini-powered subagents (Researcher, Analyst, Formatter) with ArXiv and custom tools to search, analyze, format, and persist academic findings, and can run locally (Flask) or be deployed to Vertex AI.
Autonomous agent for Kubernetes incident detection, diagnosis, and mitigation using LLMs and modular workflows. Integrates LangChain, LangGraph, and MCP servers to enable automated SRE tasks in cloud-native environments.
A bunch of LLaMa model investigations, including recreating generative agents (from the paper Generative Agents: Interactive Simulacra of Human Behavior)
Using langchain, deeplake and openai to create a Q&A on the Mojo lang programming manual
How to build an advanced RAG router based assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedrock.
A neural network-based AI chatbot has been designed that uses LSTM as its training model for both encoding and decoding. The chatbot works like an open domain chatbot that can answer day-to-day questions involved in human conversations. Words embeddings are the most important part of designing a neural network-based chatbot. Glove Word Embedding and Skip-Gram models have been used for this task.
Gemma2(9B), Llama3-8B-Finetune-and-RAG, code base for sample, implemented in Kaggle platform
Exploring the Basics of Langchain
An AI Agent that is able to control your screen to complste any task
繁中 AI / LLM 學習路徑 + 面試準備教材 + 2024-2025 研究前沿。
Forty hands-on recipes for production-grade retrieval-augmented generation, Nebius-first and provider-agnostic.
Repository for code examples for the book "Hands-on RAG for production"
Retrieval-Augmented Generation over PDFs with Google Gemini: chunking, embeddings and grounded question answering in one runnable notebook. 49,000+ views.
A collection of Python agent samples built with the Google Agent Development Kit (ADK), demonstrating integrations with services like BigQuery and Vertex AI Search.
This repository has been created to keep track of my 5 days progress.
QnA bot on a CSV
RAG-QA is a free, containerised question-answer framework that allows you to ask questions to your documents in an intuitive way
Python-based command line tool to manage workspaces and test conversations for IBM Watson Assistant on IBM Cloud
A Dockerized Streamlit app leveraging a RAG LLM with FAISS to offer answers from uploaded markdown files, deployed on GCP Cloud.
Reinforcement Learning + Open AI Gym/Gymnasium in Google's Colab.
Colab notebook for openai/glide-text2im.
Starter kit to deploy LLM agents with memory and RAG using LangChain, OpenAI, and Google Cloud (Cloud Run, BigQuery).
Repository of code examples for the book "Data Science First: Using Language Models in AI-Enabled Applications" -- Broken down into case studies using data from media, education, telecommunications and investment research.
Notebooks showing off LangChain.js v0.1.0 features.
Exploring SOTA Advanced RAG techniques: This project implements a self reflective RAG, seamlessly integrating multiple knowledge sources (website, SQL, PDFs) while meticulously aligning with business requirements.
Free AI Youtube Summarizer on your computer using mistral-instruct-v0.2, langchain and llama_index
An LLM enabled XML generator for Indian laws in the LegalDocML and LegalRuleML formats
Exploring and demonstrating OpenAI's Swarm framework
An open source NLP as a service project focused on providing state of the art systems with ease. Training and inference by simple docker commands
Discover advanced AI techniques in my repository combining Multi-Hop Chain of Thought (CoT) and Retrieval-Augmented Generation (RAG) using DSPy and Indexify. Enhance complex problem-solving with multi-step reasoning and external knowledge integration. Perfect for AI enthusiasts and researchers.
This repository hosts the instructions and workshop materials for Lab 333 - Evaluate Reasoning Models for Your Generative AI Solutions
📚 Learn Google Colab、Python、ML、OpenAI、Whisper、spaCy、NLP、HuggingFace
CGW Repo: A comprehensive toolkit for helping in the creation and optimization of Custom GPTs (Generative Pre-trained Transformers) with openAi's builder, designed to guide users through the process of tailoring AI models for specific tasks. Features include step-by-step instructions, troubleshooting tips, and frameworks for evaluating GPT quality.
LLMs: Beyond Chat
Azure IoT Operations with Edge AI in-a-Box
Summarize and perform RAG on PPTx/PPT file formats
NewsPulse is AI powered news analytics app for investors
Applying domain specific evaluations to RAG chunking and embedding functions
A Retrieval-Augmented Generation (RAG) application for querying legal documents. It uses PostgreSQL, Elasticsearch, and LLM to provide summaries and suggestions based on user queries. Features data ingestion with Airflow, real-time monitoring with Grafana, and a Streamlit interface.
Lectures that talk back. AI tutor with real-time voice conversation, dynamic Gemini-driven slides, and emotion-aware pacing — built at LA Hacks 2024 (Google Gemini Challenge 1st + Fetch.ai Agentified).
Explore the evolution of AGI through historical context, reasoning models, and agent systems, while gaining hands-on experience with cutting-edge models like Claude 4, DeepSeek-R1, and OpenAI's o3. Learn to critically evaluate AGI benchmarks, understand their limitations, and identify where current models excel or struggle in reasoning tasks.
技術書典#17 - 『俺たちと探究するLLM Observabilityアプリケーションのオブザーバビリティ』で使用するサンプルアプリケーション
Step-by-step guide to building agentic AI systems with LangGraph and MCP — from basic LLM calls to multi-node agents that reason, plan, and use real tools.
Developer MultiGroups canlı yayınında kodladığımız PDF yorumlayabilen bir sanal asistan.
"Build Generative AI Apps with LangChain" is a repository that contains a comprehensive framework for building generative AI applications using LangChain, an innovative language modeling platform. This repository includes all the necessary code and documentation to help developers quickly build and deploy generative AI applications
A retrieval augmentation LLM demo in GCP
It shows how to deploy and use an agent with LLM.
NaBot is a Rasa-based, smart medical chatbot. It can retrieve medicines and lab tests information for users just by chatting with it.
deeplearning tour
Unlock automation and system building with the ChatGPT API. Master chain calls, Python interactions, and create a customer service chatbot in this practical course.
💳 Creates a new gym environment for credit-card anomaly detection using Deep Q-Networks (DQN) and leverages Open AI's Gym toolkit to allocate appropriate awards to the RL agent.
A project combining roguelike with LLMs, RAG, Text2Speech, and Speech2Text
The Indox Ecosystem offers integrated AI tools for data workflows. Our four components (IndoxArcg, IndoxMiner, IndoxJudge, and IndoxGen) enhance AI applications with advanced retrieval, extraction, evaluation, and generation capabilities, supporting multiple document formats and LLM providers.
Build Fullstack GenAI apps and AI Agents
This repository contains a project that focuses on evaluating the performance of different Language Models (LLMs) for multi-class news classification. The project aims to assess how well LLMs can classify news articles into five distinct categories: business, politics, sports, technology, and entertainment.
A complete A–Z guide to Natural Language Processing (NLP) using Python — includes real-world projects, machine learning models, and chatbot implementations. Ideal for students, researchers, and data science enthusiasts.
GenAI
A hands-on playground to learn and experiment with LangChain, LangGraph, LangSmith, and OpenAI in Python and TypeScript.
Hands-on projects with Llama 3, Ollama, Streamlit