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This project is a CJK input method framework and configuration set designed for the Rime input engine. It provides a comprehensive system of schemas and dictionary packs to optimize Chinese character entry through pinyin and double-pinyin workflows. The framework is distinguished by its use of Lua-powered extensions that add dynamic utilities, such as inline mathematical calculators, automated timestamps, and text formatting, directly to the input interface. It also features refined word libraries and language models specifically tuned to improve prediction accuracy and first-choice hit rates
Convolutional neural network for analyzing pentest screenshots
An Instruction-tuned Large Language Model for E-commerce
AutoAudit—— the LLM for Cyber Security 网络安全大语言模型
The main features of ddzipp/autoaudit are: Industry Specific Models, Security Analysis Tools.
Projects with overlapping indexed features include: clouditera/secgpt — SecGPT网络安全大模型. amzxyz/rime_wanxiang — This project is a CJK input method framework and configuration set designed for the Rime input engine. It provides a… codefuse-ai/codefuse-devops-model — DevOps-Models is a series of industrial-first LLMs for theDevOps domain. Asking it for any question in the DevOps… bishopfox/eyeballer — Convolutional neural network for analyzing pentest screenshots. alibaba-nlp/ecomgpt — An Instruction-tuned Large Language Model for E-commerce. agrigpts/agrigpts — Research and Development of Agricultural Large Models|农业大模型研究与开发.
