DeepDanbooru
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DeepDanbooru | nni | |
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8 | 5 | |
2,485 | 13,742 | |
- | 1.0% | |
0.0 | 6.7 | |
6 months ago | about 2 months ago | |
Python | Python | |
MIT License | MIT License |
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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.
DeepDanbooru
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Discussion Thread
Okay, it turns out that someone has trained an image classifier on danbooru as a dataset.
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LAION publishes open source version of Google CoCa models ( SOTA on image captioning task )
First of all - DeepDanbooru is the exclusive project of KichangKim, who aimed to train models based on (variants of) the ResNet architecture to output Danbooru tags.
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Can i get some help installing deep danbooru?
> pip install -r requirements.txt Like what does this mean, where do i put the files i got from https://github.com/KichangKim/DeepDanbooru ? The whole process is confusing me
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i tried to install "Animator script" and "DeepDanbooru" into AUTOMATIC1111 did not work?
For: https://github.com/KichangKim/DeepDanbooru I see the "Put your deepbooru release project folder here.txt" file so I "git clone" it into this folder, moved it up and so on but the button did not show and in the console are no errors. Also I restarted the UI after each moving of the project.
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DeepDanbooru interrogator implemented in Automatic1111
if not is_installed("deepdanbooru") and deepdanbooru: run_pip("install git+https://github.com/KichangKim/DeepDanbooru.git@edf73df4cdaeea2cf00e9ac08bd8a9026b7a7b26#egg=deepdanbooru[tensorflow] tensorflow==2.10.0 tensorflow-io==0.27.0", "deepdanbooru")
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[Hobby Scuffles] Week of August 29, 2022 (Poll)
i think you could make an argument that training an art-generator model falls afoul of the "market for the original work" prong of fair use in a pretty severe way. but something like DeepDanbooru where the output is not the image but a descriptor of it would be a much easier sell as fair use.
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“Smart” or “AI” assisted Media management system that detects and auto-tags files?
DeepDanbooru is suprisingly good for tagging photos and drawings.
nni
- Filter Pruning for PyTorch
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Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI
For a complete tutorial, navigate to this Jupyter Notebook: https://github.com/microsoft/nni/blob/master/examples/notebooks/tabular_data_classification_in_AML.ipynb
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[D] Efficient ways of choosing number of layers/neurons in a neural network
optuna, hyperopt, nni, plenty of less-known tools too.
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Top 10 Developer Trends, Sun Oct 18 2020
microsoft / nni
What are some alternatives?
szurubooru - Image board engine, Danbooru-style.
optuna - A hyperparameter optimization framework
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
autogluon - Fast and Accurate ML in 3 Lines of Code
stable-diffusion-webui - Stable Diffusion web UI
AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]
SW-CV-ModelZoo - Repo for my Tensorflow/Keras CV experiments. Mostly revolving around the Danbooru20xx dataset
hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python
Keras - Deep Learning for humans
archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.