Highlights
Starred repositories
Desktop app for prototyping and debugging LangGraph applications locally.
Things you can do with the token embeddings of an LLM
The home of the Jupyter notebook graph visualization widget powered by yFiles for HTML
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Build AI Assistants with memory, knowledge and tools.
A collection of guides and examples for the Gemma open models from Google.
The open-source adapter for working with neo4j graphs and cypher queries in jupyter notebooks leveraging the yFiles Graphs for Jupyter plugin.
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
The repository for all Azure OpenAI Samples complementing the OpenAI cookbook.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Deploy your agentic worfklows to production
Guided course to crash into the most basic ML algorithms.
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
A simple and efficient tool to parallelize Pandas operations on all available CPUs
Exploration on introducing discrete codex and raw wave decoding to realize Brain-to-Text translation.
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Examples and guides for using the Gemini API
Navigating the World of AI, One Step at a Time