miniF2F VS dex-lang

Compare miniF2F vs dex-lang and see what are their differences.

miniF2F

Formal to Formal Mathematics Benchmark (by openai)

dex-lang

Research language for array processing in the Haskell/ML family (by google-research)
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miniF2F dex-lang
4 25
258 1,543
3.5% 0.8%
0.0 8.5
9 months ago 4 days ago
Objective-C++ Haskell
- BSD 3-clause "New" or "Revised" License
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.

dex-lang

Posts with mentions or reviews of dex-lang. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-13.

What are some alternatives?

When comparing miniF2F and dex-lang you can also consider the following projects:

tensor_annotations - Annotating tensor shapes using Python types

jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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

futhark - :boom::computer::boom: A data-parallel functional programming language

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

julia - The Julia Programming Language

FL - FL language specification and reference implementations

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

CIPs