lucid
Animender
| lucid | Animender | |
|---|---|---|
| 2 | 2 | |
| 4,613 | 4 | |
| - | - | |
| 0.0 | 0.0 | |
| about 1 year ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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lucid
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[D] Open source projects for interpretability
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).
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[D] Objective of openAIs Microscope
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.
Animender
What are some alternatives?
captum - Model interpretability and understanding for PyTorch
ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.
shap - A game theoretic approach to explain the output of any machine learning model.
amazon-denseclus - Clustering for mixed-type data
machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
RefinementGAN - Official implementation of the paper: https://arxiv.org/abs/2108.04957
lucent - Lucid library adapted for PyTorch
bitcoin_price_prediction - This project tries to prediction the bitcoin price with machine and deep learning.
pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy
biggestwar_ai
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
diversity_measures - Code for the paper: Diversity Measures: Domain Independent Proxies for Failure in Language Model Queries