Animender
An AI that recommends anime based on personal history. (by Original-2)
lucid
A collection of infrastructure and tools for research in neural network interpretability. (by tensorflow)
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| Animender | lucid | |
|---|---|---|
| 2 | 2 | |
| 4 | 4,599 | |
| - | 0.0% | |
| 0.0 | 0.0 | |
| over 2 years ago | about 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 only | 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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Animender
Posts with mentions or reviews of Animender.
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.
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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.
What are some alternatives?
When comparing Animender and lucid you can also consider the following projects:
ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.
captum - Model interpretability and understanding for PyTorch
amazon-denseclus - Clustering for mixed-type data
shap - A game theoretic approach to explain the output of any machine learning model.
RefinementGAN - Official implementation of the paper: https://arxiv.org/abs/2108.04957
machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
bitcoin_price_prediction - This project tries to prediction the bitcoin price with machine and deep learning.
lucent - Lucid library adapted for PyTorch
biggestwar_ai
pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy