awesome-experimental-standards-deep-learning VS orion

Compare awesome-experimental-standards-deep-learning vs orion and see what are their differences.

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awesome-experimental-standards-deep-learning orion
1 1
25 280
- 0.7%
2.0 7.4
about 1 year ago 5 months ago
Python Python
GNU General Public License v3.0 only GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

awesome-experimental-standards-deep-learning

Posts with mentions or reviews of awesome-experimental-standards-deep-learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-11.

orion

Posts with mentions or reviews of orion. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing awesome-experimental-standards-deep-learning and orion you can also consider the following projects:

yacs - YACS -- Yet Another Configuration System

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

awesome-deep-learning-music - List of articles related to deep learning applied to music

dreamerv2 - Mastering Atari with Discrete World Models

PyForecastTools - Forecast Verification/Validation Tools in Python

aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

awesome-recruitment - List of my favourite recruitment things 💫

nylon - An intelligent, flexible grammar of machine learning.

LiDAR-Guide - LiDAR Guide

ds2ai-python - The MLOps platform for innovators 🚀

software-papers - 📚 A curated list of papers for Software Engineers

asreview - Active learning for systematic reviews