stephen37

stephen37's Stars

• ollama/ollama

  Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.

  Language:Go105k6055.3k8.4k

• OpenInterpreter/open-interpreter

  A natural language interface for computers

  Language:Python57.6k4189884.9k

• milvus-io/milvus

  Milvus is a high-performance, cloud-native vector database designed to scale.

  Language:Go31.5k28412.4k3k

• ml-explore/mlx

  MLX: An array framework for Apple silicon

  Language:C++18k1485891k

• stas00/ml-engineering

  Machine Learning Engineering Open Book

  Language:Python12.1k11730734

• NirDiamant/RAG_Techniques

  This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

  Language:Jupyter Notebook9.5k12218967

• anthropics/courses

  Anthropic's educational courses

  Language:Jupyter Notebook8.5k7417670

• langfuse/langfuse

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

  Language:TypeScript7.5k29794682

• zilliztech/GPTCache

  Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

  Language:Python7.3k58173511

• jina-ai/reader

  Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/

  Language:TypeScript7.3k47129570

• langchain-ai/opengpts

  Language:Rich Text Format6.5k68142870

• lavague-ai/LaVague

  Large Action Model framework to develop AI Web Agents

  Language:Python5.8k53296522

• NirDiamant/GenAI_Agents

  This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.

  Language:Jupyter Notebook4.9k734607

• QuivrHQ/MegaParse

  File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.

  Language:Python4.7k2329233

• NVIDIA/NeMo-Guardrails

  NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

  Language:Python4.3k36380410

• NVIDIA/GenerativeAIExamples

  Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

  Language:Python2.6k6055571

• microsoft/GLIP

  Grounded Language-Image Pre-training

  Language:Python2.3k45171196

• uptrain-ai/uptrain

  UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.

  Language:Python2.2k21148194

• milvus-io/bootcamp

  Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

  Language:HTML1.9k35264599

• run-llama/llama_deploy

  Deploy your agentic worfklows to production

  Language:Python1.9k24154200

• zilliztech/attu

  The GUI for Milvus

  Language:TypeScript1.4k11287133

• milvus-io/pymilvus

  Python SDK for Milvus.

  Language:Python1.1k18920338

• zilliztech/feder

  Visualize hnsw, faiss and other anns index

  Language:Jupyter Notebook40791534

• helixml/helix

  Multi-node production GenAI stack. Run the best of open source AI easily on your own servers. Easily add knowledge from documents and scrape websites. Create your own AI by fine-tuning open source models. Integrate LLMs with APIs. Run gptscript securely on the server

  Language:Go372720435

• microsoft/MS-MARCO-Web-Search

  A large-scale information-rich web dataset, featuring millions of real clicked query-document labels

  3127517

• milvus-io/milvus-lite

  A lightweight version of Milvus

  Language:Python284149736

• apple/ml-veclip

  The official repo for the paper "VeCLIP: Improving CLIP Training via Visual-enriched Captions"

  Language:Jupyter Notebook23815014

• bsorrentino/langgraph4j

  🚀 LangGraph for Java. A library for building stateful, multi-actor applications with LLMs, built for work jointly with langchain4j

  Language:Java166144330

• NVIDIA/metropolis-nim-workflows

  Collection of reference workflows for building intelligent agents with NIMs

  Language:Jupyter Notebook1296242

• zilliztech/Retriever-for-GPTs

  An external retriever for GPTs implemented with Zilliz Cloud Pipelines, a more flexible and economic alternative to default GPTs knowledge base.

  16500