lucid VS machine-learning-experiments

Compare lucid vs machine-learning-experiments 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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machine-learning-experiments

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo (by trekhleb)
Machine Learning JavaScript Python Tensorflow jupyter-notebooks colab-notebook Colab AI Artificial intelligence Keras Numpy
Source Code
trekhleb.dev
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lucid machine-learning-experiments
2 8
4,613 1,605
- -
0.0 2.6
about 1 year ago 4 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 MIT License
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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.

machine-learning-experiments

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

What are some alternatives?

When comparing lucid and machine-learning-experiments you can also consider the following projects:

captum - Model interpretability and understanding for PyTorch

Torrent-To-Google-Drive-Downloader-v3 - Simple notebook to stream torrent files to Google Drive using Google Colab and python3.

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

osumapper - An automatic beatmap generator using Tensorflow / Deep Learning.

lucent - Lucid library adapted for PyTorch

lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy

PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

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

Hands-On-Meta-Learning-With-Python - Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

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

Colab-Crypto-Mining - Cryptocurrency Mining Experiments on Google CoLab Notebooks

lucid vs captum machine-learning-experiments vs Torrent-To-Google-Drive-Downloader-v3 lucid vs shap machine-learning-experiments vs osumapper lucid vs lucent machine-learning-experiments vs lama lucid vs pyprobml machine-learning-experiments vs PConv-Keras lucid vs ML-Workspace machine-learning-experiments vs Hands-On-Meta-Learning-With-Python lucid vs Animender machine-learning-experiments vs Colab-Crypto-Mining