Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
Build and run deep learning models using a framework that optimizes performance for your specific needs.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeJittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
jittor has 3.2k stars on GitHub. It has been forked 324 times. jittor is written mainly in Python. It has been in active development since 2020. jittor is available under the Apache-2.0 license. Its main topics are cuda, deep-learning, gpu, jittor.
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
jittor is an open-source project. It is released under the Apache-2.0 license.
Yes. jittor is free and open source — you can use, modify and self-host it.
jittor is available under the Apache-2.0 license.
jittor is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/jittor-jittor.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.