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Cluster of Excellence - SimTech
- Stuttgart, GER
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09:15
(UTC +01:00) - @its_janrange
Stars
An opinionated list of awesome Python frameworks, libraries, software and resources.
A collection of design patterns/idioms in Python
Data validation using Python type hints
Open standard for machine learning interoperability
Easily migrate your codebase from one framework or language to another.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Gin provides a lightweight configuration framework for Python
Asyncer, async and await, focused on developer experience.
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
Hardware accelerated, batchable and differentiable optimizers in JAX.
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
Croissant is a high-level format for machine learning datasets that brings together four rich layers.
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
Turn SymPy expressions into trainable JAX expressions.
Python library that provides a method of accessing lists and dicts with a dotted path notation.
Tree Implementation and Methods for Python, integrated with list, dictionary, pandas and polars DataFrame.
Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-based symbolic regression.
Python module for Dataverse Software (dataverse.org).