miniF2F VS MindsDB

Compare miniF2F vs MindsDB and see what are their differences.

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miniF2F MindsDB
4 79
262 21,531
3.9% 2.5%
0.0 10.0
10 months ago 1 day ago
Objective-C++ Python
- GNU General Public License v3.0 or later
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.

MindsDB

Posts with mentions or reviews of MindsDB. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-24.

What are some alternatives?

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

tensor_annotations - Annotating tensor shapes using Python types

tensorflow - An Open Source Machine Learning Framework for Everyone

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

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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

postgresml - The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.

FL - FL language specification and reference implementations

CapRover - Scalable PaaS (automated Docker+nginx) - aka Heroku on Steroids

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

scikit-learn - scikit-learn: machine learning in Python

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

lightwood - Lightwood is Legos for Machine Learning.