tbparse
nni
| tbparse | nni | |
|---|---|---|
| 1 | 5 | |
| 158 | 13,742 | |
| - | 0.5% | |
| 5.9 | 6.7 | |
| 5 months ago | about 2 months ago | |
| Python | Python | |
| 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.
tbparse
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[P] tbparse: Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow
The package is open source (https://github.com/j3soon/tbparse) and the usages are documented in detail (https://tbparse.readthedocs.io/en/latest/). My friends and I have been using it for a while and find it very convenient, so I think some of you may benefit from it. I would be happy to hear your feedback and feature requests.
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?
tensorboardX - tensorboard for pytorch (and chainer, mxnet, numpy, ...)
optuna - A hyperparameter optimization framework
oneline - Read a text file, one line at a time
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
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.
autogluon - Fast and Accurate ML in 3 Lines of Code
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
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