joelgmiller

joelgmiller's Stars

• comfyanonymous/ComfyUI

  The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

  Language:Python55.3k4003.5k5.8k

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  29.6k2.3k01.6k

• wandb/openui

  OpenUI let's you describe UI using your imagination, then see it rendered live.

  Language:TypeScript19.1k1291651.8k

• Doriandarko/claude-engineer

  Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks. This tool combines the capabilities of a large language model with practical file system operations and web search functionality.

  Language:Python9.4k1331281k

• AnswerDotAI/fasthtml

  The fastest way to create an HTML app

  Language:Jupyter Notebook5.4k45323230

• InternLM/MindSearch

  🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)

  Language:Python5k39145508

• argilla-io/argilla

  Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

  Language:Python3.9k312.2k373

• lm-sys/RouteLLM

  A framework for serving and evaluating LLM routers - save LLM costs without compromising quality!

  Language:Python3.2k2650237

• meta-llama/llama-agentic-system

  Agentic components of the Llama Stack APIs

  Language:Python3.2k3835308

• Nutlope/llamacoder

  Open source Claude Artifacts – built with Llama 3.1 405B

  Language:TypeScript3.1k3920528

• e2b-dev/ai-artifacts

  Hackable open-source version of Anthropic's Claude Artifacts by E2B

  Language:TypeScript2.4k1943291

• MervinPraison/PraisonAI

  PraisonAI application combines AutoGen and CrewAI or similar frameworks into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration. Chat with your ENTIRE Codebase.

  Language:Python2.3k4259305

• mlabonne/llm-datasets

  High-quality datasets, tools, and concepts for LLM fine-tuning.

  1.9k311174

• Azure-Samples/graphrag-accelerator

  One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure

  Language:Python1.8k3182295

• rahulnyk/knowledge_graph

  Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA

  Language:Jupyter Notebook1.5k2417289

• mistralai/cookbook

  Language:Jupyter Notebook1.3k3510261

• emcf/thepipe

  Extract clean data from anywhere, powered by vision-language models ⚡

  Language:Python1.2k111773

• patched-codes/patchwork

  Automate code reviews, patching and documentation with self-hosted LLM workflows.

  Language:Python1.1k73871

• iterative/datachain

  AI-data warehouse to enrich, transform and analyze data from cloud storages

  Language:Python9381315455

• character-ai/prompt-poet

  Streamlines and simplifies prompt design for both developers and non-technical users with a low code approach.

  Language:Python9046873

• EmergenceAI/Agent-E

  Agent driven automation starting with the web. Discord: https://discord.gg/wgNfmFuqJF

  Language:Python7811318110

• OpenAutoCoder/Agentless

  Agentless🐱: an agentless approach to automatically solve software development problems

  Language:Python69972583

• UKGovernmentBEIS/inspect_ai

  Inspect: A framework for large language model evaluations

  Language:Python59710196111

• lm-sys/arena-hard-auto

  Arena-Hard-Auto: An automatic LLM benchmark.

  Language:Jupyter Notebook42652757

• google-deepmind/opro

  official code for "Large Language Models as Optimizers"

  Language:Python4255644

• aiplanethub/openagi

  Paving the way for open agents and AGI for all.

  Language:Python2459452

• xlang-ai/Spider2-V

  [NeurIPS 2024] Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

  Language:Jupyter Notebook103317

• pnp/AdaptiveCards-Templates

  Samples on different adaptive card designs demonstrating the art of possible with them. Designs provided by the Microsoft design team and first versions targeting Viva Connections Adaptive Card Extensions (ACE) scenarios.

  10211542

• Cerebras/DocChat

  GPT-4 Level Conversational QA Trained In a Few Hours

  Language:Python53204

• microsoft/teams-copilot-starter

  Teams Copilot Starter has been developed as a starter template for solutions targeting generative AI chatbots in Microsoft Teams. It can assist companies jumpstart their AI and Copilot efforts.

  Language:TypeScript304813