miniF2F VS FL

Compare miniF2F vs FL and see what are their differences.

miniF2F

Formal to Formal Mathematics Benchmark (by openai)

FL

FL language specification and reference implementations (by waveworks-ai)
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miniF2F FL
4 1
259 1
3.9% -
0.0 10.0
9 months ago over 1 year ago
Objective-C++
- -
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.

miniF2F

Posts with mentions or reviews of miniF2F. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-11.

FL

Posts with mentions or reviews of FL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-11.

What are some alternatives?

When comparing miniF2F and FL you can also consider the following projects:

tensor_annotations - Annotating tensor shapes using Python types

einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

torchtyping - Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

dex-lang - Research language for array processing in the Haskell/ML family

jaxtyping - Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/

hasktorch - Tensors and neural networks in Haskell

MindsDB - The platform for customizing AI from enterprise data

tiny-cuda-nn - Lightning fast C++/CUDA neural network framework