lucid VS pyprobml

Compare lucid vs pyprobml and see what are their differences.

lucid

A collection of infrastructure and tools for research in neural network interpretability. (by tensorflow)
Tensorflow Interpretability Visualization Machine Learning Colab jupyter-notebook

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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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lucid pyprobml
2 3
4,613 6,263
- 0.9%
0.0 6.2
about 1 year ago 5 months ago
Jupyter Notebook 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.
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lucid

Posts with mentions or reviews of lucid. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-10.
  • [D] Open source projects for interpretability
    1 project | /r/MachineLearning | 28 Apr 2021
    You should check out Captum for PyTorch: https://captum.ai/ and tf-explain or lucid (this one is the framework used by distill) for Tensorflow although I think they are both oriented towards Vision interpretability (not sure if you are looking for that).
  • [D] Objective of openAIs Microscope
    2 projects | /r/MachineLearning | 10 Apr 2021
    The optimization objective is trying to find the image that maximizes the activation of a chosen channel/neuron. It uses a process similar to the one in the Lucid (tensorflow) / Lucent (pytorch) library. There are great notebooks included with the libraries and this article has an in-depth explanation of the optimization objectives.

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 lucid and pyprobml you can also consider the following projects:

captum - Model interpretability and understanding for PyTorch

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

shap - A game theoretic approach to explain the output of any machine learning model.

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

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

jaxopt - Hardware accelerated, batchable and differentiable optimizers in JAX.

lucent - Lucid library adapted for PyTorch

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

PRML - PRML algorithms implemented in Python

Animender - An AI that recommends anime based on personal history.

lightwood - Lightwood is Legos for Machine Learning.

lucid vs captum pyprobml vs numpyro lucid vs shap pyprobml vs prml lucid vs machine-learning-experiments pyprobml vs jaxopt lucid vs lucent pyprobml vs machine-learning-experiments lucid vs ML-Workspace pyprobml vs PRML lucid vs Animender pyprobml vs lightwood