music-artist-classification-crnn
autokeras
| music-artist-classification-crnn | autokeras | |
|---|---|---|
| 1 | 5 | |
| 75 | 9,086 | |
| - | 0.2% | |
| 0.0 | 5.3 | |
| about 1 year ago | 3 months ago | |
| Python | Python | |
| - | Apache License 2.0 |
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music-artist-classification-crnn
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What can I do to improve results (significantly)?
It's supposed to do (music) artist recognition on audio data. It's based off of this NN except the output layer has a sigmoid activation (and it's a CNN not a CRNN, and a few other changes.
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?
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
autogluon - Fast and Accurate ML in 3 Lines of Code
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
mir - MyCoRe/MODS Institutional Repository
adanet - Fast and flexible AutoML with learning guarantees.
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
tf-keras-vis - Neural network visualization toolkit for tf.keras
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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]