spaceopt
nni
spaceopt | nni | |
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1 | 5 | |
42 | 13,777 | |
- | 0.7% | |
3.6 | 4.5 | |
almost 2 years ago | 4 days ago | |
Python | Python | |
MIT License | MIT License |
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spaceopt
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[D] What kind of Hyperparameter Optimisation do you use?
I had exactly the same problem: How do I naturally integrate human expertise or manual interventions into automatic hyperparameter optimization process? I ended up writing my own algorithm that helps me achieve that: https://github.com/ar-nowaczynski/spaceopt
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?
optuna - A hyperparameter optimization framework
Spearmint - Spearmint Bayesian optimization codebase
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
optuna-examples - Examples for https://github.com/optuna/optuna
autogluon - Fast and Accurate ML in 3 Lines of Code
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.
AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
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