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sam3

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

gpt_academic

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.

Popularity
Repository stars12,18871,601Highest
7-day net stars——
Fork1,8448,319Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-232026-01-25
Maintenance notesNot verifiedNot verified
Repository created2025-07-172023-03-20
License & use
LicenseLicense not declaredGPL-3.0 · Share derivative source
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeAI & agentsAI & agents
TypeModels & adaptersModels & adapters
SubcategoryLanguage modelsLanguage models
PlatformNot verifiedNot verified
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
LanguagePythonPython
About this projectThe repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.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.
Measured at2026-11-03 08:25 UTC2026-11-03 08:24 UTC

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