auto-sklearn
nni
Our great sponsors
| auto-sklearn | nni | |
|---|---|---|
| 3 | 5 | |
| 7,403 | 13,726 | |
| 0.7% | 0.9% | |
| 1.8 | 6.7 | |
| 4 months ago | about 2 months ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | 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.
auto-sklearn
-
Why not AutoML every tabular data?
Efficiency Ignoring the feature engineering aspects aside, a typical data scientist workflow involves trying out the different models. Some of the AutoML modules like H2O AutoML, AutoSklearn does this for you, and allow you to interpret your models. All these save so much time experimenting with the standard models.
- [R] Regularization is all you Need: Simple Neural Nets can Excel on Tabular Data
-
What free AutoML library do you recommend?
If you want a more stable AutoML library, i’ll suggest auto-sklearn which optimises performance of sklearn learning algorithms.
nni
- Filter Pruning for PyTorch
-
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
-
[D] Efficient ways of choosing number of layers/neurons in a neural network
optuna, hyperopt, nni, plenty of less-known tools too.
-
Top 10 Developer Trends, Sun Oct 18 2020
microsoft / nni
What are some alternatives?
autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code
optuna - A hyperparameter optimization framework
Auto-PyTorch - Automatic architecture search and hyperparameter optimization for PyTorch
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
tune-sklearn - A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
syne-tune - Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]
OCTIS - OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python
SMAC3 - SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.