jax-md VS torchmd

Compare jax-md vs torchmd and see what are their differences.

jax-md

Differentiable, Hardware Accelerated, Molecular Dynamics (by jax-md)
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jax-md torchmd
2 1
1,093 509
- 1.6%
7.5 7.9
17 days ago 2 months ago
Jupyter Notebook Python
Apache License 2.0 MIT 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.

jax-md

Posts with mentions or reviews of jax-md. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-28.

torchmd

Posts with mentions or reviews of torchmd. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-02.

What are some alternatives?

When comparing jax-md and torchmd you can also consider the following projects:

jaxonnxruntime - A user-friendly tool chain that enables the seamless execution of ONNX models using JAX as the backend.

lightning-flash - Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]

traingenerator - 🧙 A web app to generate template code for machine learning

jax-experiments

pytorch-forecasting - Time series forecasting with PyTorch

thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

quaterion - Blazing fast framework for fine-tuning similarity learning models

equinox - Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/