orion
awesome-experimental-standards-deep-learning
| orion | awesome-experimental-standards-deep-learning | |
|---|---|---|
| 1 | 1 | |
| 280 | 25 | |
| 0.4% | - | |
| 7.4 | 2.0 | |
| 5 months ago | about 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
orion
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Git token, how to I encourage git to have me put in a username and password?
$ git remote show origin [email protected]:Epistimio/orion.git << SSH $ git remote show origin https://github.com/Epistimio/orion.git << HTTPs
awesome-experimental-standards-deep-learning
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[P] Introducing confidenceinterval, the long missing python library for computing confidence intervals
Very neat! I will add this to https://github.com/Kaleidophon/experimental-standards-deep-learning-research :-)
What are some alternatives?
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
yacs - YACS -- Yet Another Configuration System
dreamerv2 - Mastering Atari with Discrete World Models
awesome-deep-learning-music - List of articles related to deep learning applied to music
aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
PyForecastTools - Forecast Verification/Validation Tools in Python
nylon - An intelligent, flexible grammar of machine learning.
awesome-recruitment - List of my favourite recruitment things 💫
ds2ai-python - The MLOps platform for innovators 🚀
LiDAR-Guide - LiDAR Guide