extending-jax VS thinc

Compare extending-jax vs thinc and see what are their differences.

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extending-jax thinc
2 4
361 2,808
- 0.2%
3.5 7.2
9 months ago 7 days ago
Python Python
MIT License 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.

extending-jax

Posts with mentions or reviews of extending-jax. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-15.

thinc

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

What are some alternatives?

When comparing extending-jax and thinc you can also consider the following projects:

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

quantulum3 - Library for unit extraction - fork of quantulum for python3

mpi4jax - Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap:

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

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

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

trax - Trax — Deep Learning with Clear Code and Speed

dm-haiku - JAX-based neural network library

elegy - A High Level API for Deep Learning in JAX

AIF360 - A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

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

textacy - NLP, before and after spaCy

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InfluxDB - Power Real-Time Data Analytics at Scale
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www.influxdata.com
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