jupyter-notebook

🦀 A Pure Rust Framework For Building AGI.

This repository is home to all the Jupyter Notebooks required for MongoDB's GenAI Developer Day.

The Anti-Virus for AI Artifacts & RAG Firewall. A static analysis tool scanning Models and Notebooks for RCE, Datasets and RAG docs for Data Poisoning, PII, and Prompt Injections. Secure your AI Supply Chain.

【持续更新中】 完全中文版的 Transformers 学习笔记及演示示例，支持 Jupyter Notebook，主要内容来自 🤗 Hugging Face 中关于 Transformers 的教材文档，在官方文档的基础上修改了部分示例的代码，补充在运行过程中遇到的问题和对应的解决方案。

A curated list of awesome stable diffusion resources 🌟

Collaborative Multi-Agent RAG with CrewAI

A Jupyter python notebook to Execute Zapier Tasks with GPT completion via Langchain

Research experiments exploring uncommon quant techniques.

Power up your data science workflow with ChatGPT.

The AI-native JupyterLab — open-source Cursor for notebooks. Cmd+K inline edit, multi-step agent with cell-level tools (read/edit/run), chat with @cell/@file context, ghost-text completion, one-click traceback fix. BYO model: Anthropic, OpenAI, Gemini, Ollama, vLLM. Local-first, privacy-first, fully open source.

Free AI/ML course with 950+ Jupyter notebooks — Python, deep learning, LLMs, RAG, agents, prompt engineering, fine-tuning, MLOps

Jupyter notebook for Stable Diffusion Web UI and Stable Diffusion Web UI Forge.

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep transfer learning to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systems

cheap views of intermediate Stable Diffusion results

An 18 notebook course that isolates and measures each component of agentic loop engineering on real, industry standard software datasets.

Flood detection from images using deep learning. Deep learning library KERAS was employed and MobileNet architecture was fine-tuned for image classification task.

Real-time behavioral intelligence for call centers. Transcribes support calls, redacts PII, extracts emotional tone, classifies issues, and delivers insight-rich dashboards — powered by GPT-3.5 (cheap tokens), Whisper, DuckDB, and a polished React+TypeScript frontend. No Azure. No Power BI. No vendor lock-in. Just full-stack AI that runs local.

A collection of Earth Engine Apps created using geemap and voila

I recorded 10 voices with the same words from myself and compared them with another 10 words from another person. I was able to find a threshold level that acknowledges and recognizes my own voice.

Content based recommender system for books using NLP.