|8 days ago||6 days ago|
|Apache License 2.0||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.
Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI
2 projects | dev.to | 4 Oct 2021
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
3 projects | reddit.com/r/statistics | 20 Apr 2021
optuna, hyperopt, nni, plenty of less-known tools too.
Top 10 Developer Trends, Sun Oct 18 2020
9 projects | dev.to | 18 Oct 2020
microsoft / nni
What are some alternatives?
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
optuna - A hyperparameter optimization framework
autogluon - AutoGluon: AutoML for Text, Image, and Tabular Data
FLAML - A fast library for AutoML and tuning.
hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python
AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]
LightAutoML - LAMA - automatic model creation framework
torchextractor - Feature extraction made simple with torchextractor
automlbenchmark - OpenML AutoML Benchmarking Framework
lightwood - Lightwood is Legos for Machine Learning.
waypoint-examples - Example Apps that can be deployed with Waypoint
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.