machine-learning-experiments VS lucid

Compare machine-learning-experiments vs lucid and see what are their differences.

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
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trekhleb.dev
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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 lucid
8 2
1,602 4,613
- -
2.6 0.0
4 months ago about 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
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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.

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.

What are some alternatives?

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

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

captum - Model interpretability and understanding for PyTorch

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

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

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

lucent - Lucid library adapted for PyTorch

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

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

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

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

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

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

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