python-small-examples
nni
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python-small-examples | nni | |
---|---|---|
1 | 5 | |
7,833 | 13,742 | |
- | 0.9% | |
4.5 | 6.7 | |
8 months ago | about 2 months ago | |
Python | Python | |
- | MIT License |
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.
python-small-examples
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Ask HN: What are the best tutorial sites for Python?
All these are neither recent (they are updated though) nor AI related. Here you go :
If you are new to dev, I like "think python"
If you are already into programming, I personally find sifting through organized small code snippets helpful for learning a new language :
https://github.com/jackzhenguo/python-small-examples
https://github.com/satwikkansal/wtfpython/blob/master/README...
https://www.30secondsofcode.org/python/p/1
Finally, "The Hitchhiker’s Guide to Python" is good for everything configuration, and usage.
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?
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.
optuna - A hyperparameter optimization framework
wtfpython - What the f*ck Python? 😱
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]
hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python
archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
automlbenchmark - OpenML AutoML Benchmarking Framework
tsflex - Flexible time series feature extraction & processing