jaxtyping
MindsDB
| jaxtyping | MindsDB | |
|---|---|---|
| 8 | 83 | |
| 1,305 | 27,098 | |
| 5.1% | 0.9% | |
| 8.2 | 9.9 | |
| 1 day ago | 6 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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jaxtyping
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Python type hints may not be not for me in practice
You want runtime typechecking.
See either beartype [1] or typeguard [2]. And if you're doing any kind of array-based programming (JAX or not), then jaxtyping [3].
[1] https://github.com/beartype/beartype/
[2] https://github.com/agronholm/typeguard
[3] https://github.com/patrick-kidger/jaxtyping
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Writing Python like it's Rust
Try using [jaxtyping](https://github.com/google/jaxtyping).
It also supports numpy/pytorch/etc.
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Writing Python like it’s Rust
Since you mention ML use-cases, you might like jaxtyping.
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Scientific computing in JAX
jaxtyping: rich shape & dtype annotations for arrays and tensors (also supports PyTorch/TensorFlow/NumPy);
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[D] Have their been any attempts to create a programming language specifically for machine learning?
Heads-up that my newer jaxtyping project now exists.
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Returning to snake's nest after a long journey, any major advances in python for science ?
As other folks have commented, type hints are now a big deal. For static typing the best checker is pyright. For runtime checking there is typeguard and beartype. These can be integrated with array libraries through jaxtyping. (Which also works for PyTorch/numpy/etc., despite the name.)
- Type annotations and runtime checking for shape and dtype
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What are some alternatives?
torchtyping - Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
tensorflow - An Open Source Machine Learning Framework for Everyone
plum - Multiple dispatch in Python
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.
pytype - A static type analyzer for Python code
lightwood - Lightwood is Legos for Machine Learning.
madtypes - Python Type that raise TypeError at runtime
postgresml - Postgres with GPUs for ML/AI apps.
tiny-cuda-nn - Lightning fast C++/CUDA neural network framework
scikit-learn - scikit-learn: machine learning in Python
diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
CapRover - Scalable PaaS (automated Docker+nginx) - aka Heroku on Steroids