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Jupyter Notebook agents
2,100 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 11 of 21
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
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
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.
NewsPulse is AI powered news analytics app for investors
Unlock automation and system building with the ChatGPT API. Master chain calls, Python interactions, and create a customer service chatbot in this practical course.
Applying domain specific evaluations to RAG chunking and embedding functions
A hands-on playground to learn and experiment with LangChain, LangGraph, LangSmith, and OpenAI in Python and TypeScript.
BTK için hazırlanan Erişim Destekli Üretim (RAG) Tabanlı Sohbet Botu Eğitimi Belgeleri
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.
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.
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.
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.
deeplearning tour
💳 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.
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.
GenAI
[ACL 2026] Official implementation of "ZARA: Training-Free Motion Time-Series Reasoning via Evidence-Grounded LLM Agents
[USENIX Security 2025] Topic-FlipRAG: Topic-Orientated Adversarial Opinion Manipulation Attacks to Retrieval-Augmented Generation Models
RAG-enhanced LLaMa-like transformer neural network based LLM for assistance on programming languages/frameworks' documentations.
Build sovereign RAG systems with MAS‑RAG, Dual‑RAG, GraphRAG, Spatial‑RAG, multimodal pipelines, and vector search directly inside Oracle AI Database 26ai and Exadata.
An agentic LLM-powered knowledge assistant that enhances RAG capabilities through automated entity extraction, structured data analysis, and SQL-based reasoning to deliver accurate answers for complex, multi-step, and analytical queries.
My complete journey to becoming an Agentic AI Engineer through structured learning, projects, experiments, and production-ready implementations of modern AI systems.
Hands-on projects with Llama 3, Ollama, Streamlit
Curated materials for different machine learning related summer schools
NaBot is a Rasa-based, smart medical chatbot. It can retrieve medicines and lab tests information for users just by chatting with it.
Use AI to personify books, so that you can talk to them 🙊
How to build a chat assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedrock.
In this repository, you will discover how Streamlit, a Python framework for developing interactive data applications, can work seamlessly with the Open-Source Embedding Model ("sentence-transformers/all-MiniLM-L6-v2") in Hugging Face and Llama 2 🦙🦙 model.
(ICRA 2025) Inverse Mixed Strategy Games with Generative Trajectory Models
a collection of advanced reinforcement learning (rl) agents and implementations, including dqn, actor-critic, ppo, dpo, and more. provides reference code, algorithmic insights, and setups for research, experimentation, and benchmarking of state-of-the-art rl methods.
This project about AI Chatbot Kampus Merdeka to help student or Indonesian people know about Kampus Merdeka program from KEMENDIKBUDRISTEK (Kementerian Pendidikan, Kebudayaan, Riset Dan Teknologi).
This repository is a comprehensive project that leverages the XLM-Roberta model for intent detection. This repository is a valuable resource for developers looking to build and fine-tune intent detection models based on state-of-the-art techniques.
Fine tuned llama 3 models for context based question answering in bengali language.
Generating diverse and realistic datasets for computer vision training using AI.
Colabs for text prompt steered image generators
Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering
A comprehensive AI & ML project portfolio from the University of Texas at Austin PG Program, demonstrating real-world data science and machine learning solutions.
Multi-agent Claude Code workflow for writing an empirical economics Master thesis — 17 agents, 8 rules, 11 skills, RAG integration
How to stop AI agents from hallucinating and wasting tokens. Working demos: Graph-RAG, semantic tool selection, neurosymbolic guardrails, DebounceHook — built with Strands Agents
为 Python 后端工程师打造的 AI 实战教程：涵盖机器学习、深度学习、大模型应用，17个行业项目，跨平台支持（macOS/Linux/Windows）
🦛 Chonkie's recipes for Agents, Context Engineering, and more! 🧑🍳 Chonkie knows how to cook (and it cooks well!)
An autonomous agentic pipeline that finds, proves, and patches real C memory-safety vulnerabilities end-to-end using a single 7B open-source LLM (Qwen2.5-Coder) on vLLM, with AddressSanitizer as a ground-truth oracle.
Colabs for text prompt steered image generators
A place to evaluate public models
🖼️ Workshop: Build a multimodal AI agent with Haystack & GPT-4o — featuring image understanding, document retrieval, conversational memory, and human-in-the-loop safety controls
Azure AI Services Lab & AI-102 Study
🤖 AI Assistant fine-tuned to provide support for coding and design questions based on the latest trends in the industry.
Welcome to LLM-Utility-Cookbook! Here you'll find tools to make LLMs easy: voice to text, text to voice, document scan to text, prompt management, and more. Jump in, make your work easier
Perform RAG (Retrieval-Augmented Generation) from your PDFs using this Colab notebook! Powered by Llama 2
In this project, I extend the implementation of a Tweet/Sentence Sentiment Classification to a "Depression Assistant Chatbot". This software asks the users how they are feeling and if what they write expresses sadness of anger then they are greeted with jokes until they feel better.
Chatbot in spanish using differents model: Seq2Seq model with Luong attention and transformer
This repository is a collection of resources, code-books and illustrations on MediBo project - a medical chatbot capstone project by a group of Columbia University students
Robots developed in Python
Chatbot using Seq2Seq model and Attention
Automatize local data analysis with team of tool-using GPT agents
This project aims to perform sentiment analysis on tweets related to ChatGPT, a popular language model developed by OpenAI. The dataset used for training and testing consists of 219,293 tweets collected over a month. Each tweet is classified as positive ("good"), negative ("bad"), or ("neutral").
GPT Table Semantic Parsing with complex & non-intuitive structure.
A Question Generation Application leveraging RAG and Weaviate vector store to be able to retrieve relative contexts and generate a more useful answer-aware questions
Converting unstructured text to knowledge graph using spacy LLM and ne04j.
It includes the concepts for RAG application from basics till advanced using LangChain library.
Information extraction from unstructured text to build a knowledge graph using techniques from traditional NLP to pre-trained transformers and LLMs for NER and Linking, and Relation Extraction.
Evolving LangChain agent architectures using the Quality-Diversity (QD) algorithm.
In this repository, you will find an example code for creating an interactive chat experience that allows you to ask questions about your CSV data with chart visualization capabilities.
BipedalWalker - AI teaching itself to walk
A simple Retrieval-Augmented Generation (RAG) project built with LangChain and Streamlit. Upload documents (PDF/TXT) and interact with them using natural language questions powered by embeddings and vector search.
AI-powered technical interview system with dynamic resume analysis, voice interaction, and automated evaluation reports.
Real-time AI Avatar interface powered by Google Gemini. Features a customizable VRM anime-style character with low-latency voice interaction, conceptually inspired by xAI's Ani
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.
UnOfficial Gradio Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.
Exploring advanced prompting tools to query SQL database with multiple tables in natural language using LLMs
SageMaker Ployglot based RAG opensearch
Samples and demos with LangGraph and LangChain frameworks.
GenAI Series - RAG, Fine tuning, Agents, Knowledge Graph
You’ll explore new advancements like ChatGPT’s function calling capability, and build a conversational agent using a new syntax called LangChain Expression Language (LCEL) for tasks like tagging, extraction, tool selection, and routing.
How to build a simplified Corrective RAG assistant with Amazon Bedrock using LLMs, Embeddings model, Knowledge Bases for Amazon Bedrock, and Agents for Amazon Bedrock.
This repo contains almost everything about Generative Ai
A QA RAG system that uses a custom chromadb to retrieve relevant passages and then uses an LLM to generate the answer.
This project implements RAG using OpenAI's embedding models and LangChain's Python library
GraphRag vs Embeddings
Demo done in a jupyter notebook to show how Retrieval Augmented Generation (RAG) can be done without using any frameworks.
Learn how to build effective LLM-based applications with Semantic Kernel in C#
🦛 Chonkie's recipes for Agents, Context Engineering, and more! 🧑🍳 Chonkie knows how to cook (and it cooks well!)
🫧 A one-stop hub, like a sample library 🪂 Azure OpenAI 100+ Sample Code 🧪 Organized by topic for quick reference.
Agentic Retrieval-Augmented Generation (RAG) architecture that Analysis the US Stock Market and assists the user on investment decisions. The app runs locally
LLM-powered financial analyst using LoRA-tuned Llama-3 and RAG pipeline to answer complex queries over SEC 10-K filings with contextual accuracy.
So, you want to create your very own chatbot? Well, buckle up and get ready for a wild ride! With OpenAI APIs, you can train your chatbot to be the ultimate conversationalist. From discussing the latest trends in fashion to debating the merits of pineapple on pizza, your chatbot will be ready to take on any topic.
This is an agentic AI system designed to help Construction Architects review construction documents and identify inconsistencies between original specifications/drawings and Contractor Submittals.