GitHub topics: large-action-model
xlang-ai/OSWorld
[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Language: Python - Size: 112 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1,921 - Forks: 239
xlang-ai/OSWorld-G
Scaling Computer-Use Grounding via UI Decomposition and Synthesis
Language: TypeScript - Size: 236 MB - Last synced at: 5 days ago - Pushed at: 13 days ago - Stars: 78 - Forks: 2
test-zeus-ai/testzeus-hercules
Hercules is the world’s first open-source testing agent, enabling UI, API, Security, Accessibility, and Visual validations – all without code or maintenance. Automate testing effortlessly and let Hercules handle the heavy lifting! ⚡
Language: Python - Size: 16.6 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 551 - Forks: 79
OpenAdaptAI/OpenAdapt
Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
Language: Python - Size: 28.9 MB - Last synced at: 22 days ago - Pushed at: 3 months ago - Stars: 1,277 - Forks: 181
lavague-ai/LaVague
Large Action Model framework to develop AI Web Agents
Language: Python - Size: 95.8 MB - Last synced at: 27 days ago - Pushed at: 5 months ago - Stars: 6,056 - Forks: 546
tjtanaa/awesome-large-action-model
Awesome Large Action Model (LAM): Models that could help gets things done.
Size: 10.7 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 263 - Forks: 15
sethkarten/pokechamp
Official repository of the paper, PokeChamp: an Expert-level Minimax Language Agent for Competitive Pokemon.
Language: Python - Size: 9.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 44 - Forks: 4
Foqsee/S1-app
An open source alternative to the Rabbit R1 directly on your phone
Language: TypeScript - Size: 479 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 22 - Forks: 1
Rhriti/mistralAI-hackathon
Fine-tuning mistral model to accurately time stamp relevant youtube video segment, later labelled using trained IDM.
Language: Jupyter Notebook - Size: 809 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
playback-network/playback-app-mac
Playback Electron App
Language: JavaScript - Size: 90.8 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
