jaxopt VS pyprobml

Compare jaxopt vs pyprobml and see what are their differences.

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jaxopt pyprobml
1 3
888 6,257
1.6% 1.7%
7.8 6.2
3 days ago 4 months ago
Python Jupyter Notebook
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.

jaxopt

Posts with mentions or reviews of jaxopt. We have used some of these posts to build our list of alternatives and similar projects.

pyprobml

Posts with mentions or reviews of pyprobml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-09.

What are some alternatives?

When comparing jaxopt and pyprobml you can also consider the following projects:

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

numpyro - Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

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

prml - Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

torchopt - TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

datasets - TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

lucid - A collection of infrastructure and tools for research in neural network interpretability.

PyNeuraLogic - PyNeuraLogic lets you use Python to create Differentiable Logic Programs

PRML - PRML algorithms implemented in Python

symbolicai - Compositional Differentiable Programming Library

lightwood - Lightwood is Legos for Machine Learning.