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Facts
| Fact | Tencent/TNN TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. | AICAN-Research/FAST-Pathology ⚡ Open-source software for deep learning-based digital pathology |
|---|---|---|
| Stars | 4,664 | 146 |
| Net stars, last 30 days | +9 | 0 |
| Largest star day | +3 on Jun 5, 2026 | +1 on May 19, 2026 |
| Milestone reached in the record | None | None |
| Forks | 771 | 28 |
| Language | C++ | C++ |
| License | Other license | BSD-2-CLAUSE |
| Created | May 29, 2020 | Jul 9, 2019 |
| Last push | May 9, 2025 | Jun 14, 2024 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 1 of 4 checks (2 without data) |
| Health facts: Releases | 1 of 3 checks (1 without data) | 1 of 3 checks (1 without data) |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check (1 without data) |
| Health facts: Community files | 1 of 3 checks (2 without data) | 1 of 3 checks (2 without data) |
| Commits, last 13 weeks | No data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Nov 10, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: deep-learning, inference, pytorch, tensorflow, tensorrt, openvino. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined