kinference
Running ONNX models in vanilla Kotlin (by JetBrains-Research)
kotlingrad
𧊠Shape-Safe Symbolic Differentiation with Algebraic Data Types (by breandan)
kinference | kotlingrad | |
---|---|---|
1 | 3 | |
137 | 508 | |
3.6% | - | |
9.1 | 3.8 | |
10 days ago | about 1 year ago | |
Kotlin | Kotlin | |
Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
kinference
Posts with mentions or reviews of kinference.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-24.
-
Show HN: Shape-Safe Symbolic Differentiation with Algebraic Data Types
Thank you for your feedback! Kotlinâ is a research prototype for building differentiable programs from basic primitives. If youâre looking for a higher-level API, KotlinDL [1] or KInference [2] might be a better fit for building end-user applications such as image, speech or language processing.
[1]: https://github.com/JetBrains/KotlinDL
[2]: https://github.com/JetBrains-Research/kinference/
kotlingrad
Posts with mentions or reviews of kotlingrad.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-25.
-
Trade-Offs in Automatic Differentiation: TensorFlow, PyTorch, Jax, and Julia
and that there is a mature library for autodiff https://github.com/breandan/kotlingrad
- Show HN: Shape-Safe Symbolic Differentiation with Algebraic Data Types
- Kotlinâ: Type-safe Symbolic Differentiation for the JVM
What are some alternatives?
When comparing kinference and kotlingrad you can also consider the following projects:
kotlindl - High-level Deep Learning Framework written in Kotlin and inspired by Keras
lets-plot-kotlin - Grammar of Graphics for Kotlin
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
kmath - Kotlin mathematics extensions library
cld3-kotlin - Bindings to Google's Compact Language Detector 3 to JVM Based Languages
uiua - A stack-based array programming language
photo-fritz2 - Kotlin JS, ONNX - Deep Learning running in the browser! â¤ď¸ Live at https://photo-fritz2.pages.dev/
dex-lang - Research language for array processing in the Haskell/ML family