Search Results for "gpu"
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Showing 2 open source projects for "gpu"
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MEXC Digital Asset ServicesLaunched by senior quantitative trading teams form Wall St., Europe and Japan in the form of distributed organizations, MEXC (formerly MXC) is committed to providing digital assets followers worldwide with secured, fast, and user-friendly cryptocurrency trading services. Five business models are provided on MEXC platform: Spot Trading, C2C, Derivatives, PoS Pool, and MXC Labs. High-performance mega-transaction matching engine technology. Distributed “Super Node” program for adequate community autonomy. Assets protected by top-level security firms Palmim and Knownsec. MEXC Exchange is an exchange platform focusing on cryptocurrency assets, founded by some senior practitioner in blockchain industry and specialists from Wall Street, Japan, and Europe. MEXC offers safer, smarter, and more convenient exchange services, together with selected blockchain asset, safety insurance, dedicated to building a world-leading cryptocurrency exchange platform.
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CogAgent
An open sourced end-to-end VLM-based GUI Agent
CogAgent is a 9B-parameter bilingual vision-language GUI agent model based on GLM-4V-9B, trained with staged data curation, optimization, and strategy upgrades to improve perception, action prediction, and generalization across tasks. It focuses on operating real user interfaces from screenshots plus text, and follows a strict input–output format that returns structured actions, grounded operations, and optional sensitivity annotations. The model is designed for agent-style execution rather... -
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Diplomacy Cicero
Code for Cicero, an AI agent that plays the game of Diplomacy
...It supports two variants: Cicero (which handles full “press” negotiation) and Diplodocus (a variant focused on no-press diplomacy) as described in the README. The codebase is implemented primarily in Python with performance-critical components in C++ (via pybind11 bindings) and is configured to run in a high‐GPU cluster environment. Configuration is managed via protobuf files to define tasks such as self-play, benchmark agent comparisons, and RL training. The project is now archived and read-only, reflecting that it is no longer actively developed but remains publicly available for research use.
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