DeepAA
autokeras
DeepAA | autokeras | |
---|---|---|
5 | 5 | |
1,491 | 9,067 | |
- | 0.2% | |
0.0 | 5.3 | |
almost 3 years ago | about 2 months ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
DeepAA
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Dúvida I.As
Tipo isso? https://github.com/OsciiArt/DeepAA
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Need some great looking art? MidJourney AI Image Generator can definitely do some inspiration
ASCII art was low hanging fruit at the beginning of the neural net gold rush… DeepAA was made all the way back on the first version of Tensorflow!
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Why do all image to text conversion tools work based on brightness and not finding the most similar character?
Not all. See for example DeepAA.
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Ask r/linusrants: Is there anywhere an ASCII art of Linus giving Nvidia the finger? Preferrably with a speech bubble and the whole (Nvidia F… You!) spelled out. I need this… for reasons.
So i gave it hte old collage try with some automated tools. Going from this: https://cdn2.computeridee.nl/source/sites/computeridee.nl/files/nieuwsbeeld/linus-torvalds-nvidia.jpg Get line drawn edges using this: https://online.rapidresizer.com/photograph-to-pattern.php. To ASCII using this: https://github.com/OsciiArt/DeepAA.
autokeras
- Machine Learning Algorithms Cheat Sheet
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Ask HN: Which piece of tech is underutilized?
I think the interfaces aren't high level enough for the average programmer to adopt it. It needs what https://autokeras.com is for neural nets.
- Technical documentation that just works
- SVM training taking forever on my local machine. Will using AWS Sagemaker be faster for training SVM (Linear) models?
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[D] [P] How do you use tools like AutoML?
AutoKeras time_series_forecaster.py
What are some alternatives?
textgenrnn - Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
autogluon - Fast and Accurate ML in 3 Lines of Code
deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
spektral - Graph Neural Networks with Keras and Tensorflow 2.
adanet - Fast and flexible AutoML with learning guarantees.
tf-keras-vis - Neural network visualization toolkit for tf.keras
automlbenchmark - OpenML AutoML Benchmarking Framework
AutoViz - Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
NAS-Projects - Automated deep learning algorithms implemented in PyTorch. [Moved to: https://github.com/D-X-Y/AutoDL-Projects]
deephyper - DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.