LieluoboAi/radish
C++ model train&inference framework
For engineers or researchers who are developing and deploying AI models, Radish helps streamline the process from training to real-world application. It allows you to use the same C++ codebase for both model training and deployment, working with raw data (like text or LevelDB entries) and producing trained, deployable models. This is ideal for those managing complex AI systems in production.
223 stars. No commits in the last 6 months.
Use this if you need to build and deploy AI models with consistent C++ code, especially in scenarios requiring real-time processing, multi-threading, or robust engineering practices.
Not ideal if you prefer to work exclusively in Python for model development and deployment, or if you are not comfortable with C++ development.
Stars
223
Forks
35
Language
C++
License
Apache-2.0
Category
Last pushed
Dec 25, 2019
Commits (30d)
0
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