Provides practical interactive interfaces for LLM large language models such as GPT/GLM, especially optimizing the paper reading/polishing/writing experience, modular design, supports custom shortcut buttons & function plug-ins, supports Python and C++ and other project analysis & self-translation functions, PDF/LaTex paper translation & summary functions, supports parallel query of multiple LLM models, and supports local models such as chatglm3. Access Tongyi Qianwen, deepseekcoder, iFlytek Spark, Wenxinyiyan, llama2, rwkv, claude2, moss, etc.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Popularity
Repository stars71,601Highest55,096
7-day net stars——
Fork8,319Highest6,399
30-day trendInsufficient historyInsufficient history
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonJupyter Notebook
About this projectProvides practical interactive interfaces for LLM large language models such as GPT/GLM, especially optimizing the paper reading/polishing/writing experience, modular design, supports custom shortcut buttons & function plug-ins, supports Python and C++ and other project analysis & self-translation functions, PDF/LaTex paper translation & summary functions, supports parallel query of multiple LLM models, and supports local models such as chatglm3. Access Tongyi Qianwen, deepseekcoder, iFlytek Spark, Wenxinyiyan, llama2, rwkv, claude2, moss, etc.The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Measured at2026-11-03 08:24 UTC2026-11-03 08:27 UTC
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