pyprobml VS jaxopt

Compare pyprobml vs jaxopt and see what are their differences.

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy (by probml)
jupyter-notebooks Machine Learning Colab pml probabilistic-programming Jax Tensorflow Pytorch pymc3 numpyro flax pyro blackjax
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jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX. (by google)
Jax Optimization Deep Learning differentiable-programming bi-level
Source Code
jaxopt.github.io
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pyprobml jaxopt
3 1
6,257 888
1.7% 1.6%
6.2 7.8
4 months ago 4 days ago
Jupyter Notebook Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

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.

jaxopt

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

What are some alternatives?

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

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

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

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

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

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

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

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

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

PRML - PRML algorithms implemented in Python

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

lightwood - Lightwood is Legos for Machine Learning.

symbolicai - Compositional Differentiable Programming Library

pyprobml vs numpyro jaxopt vs jax pyprobml vs prml jaxopt vs einops pyprobml vs machine-learning-experiments jaxopt vs torchopt pyprobml vs lucid jaxopt vs datasets pyprobml vs PRML jaxopt vs PyNeuraLogic pyprobml vs lightwood jaxopt vs symbolicai