archai VS only_train_once

Compare archai vs only_train_once and see what are their differences.

only_train_once

OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM (by tianyic)
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archai only_train_once
3 1
455 261
1.1% -
8.3 8.9
4 months ago 27 days ago
Python Python
MIT License MIT License
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.

archai

Posts with mentions or reviews of archai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-02.

only_train_once

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

What are some alternatives?

When comparing archai and only_train_once you can also consider the following projects:

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

delve - PyTorch model training and layer saturation monitor

sapientml - Generative AutoML for Tabular Data

Torch-Pruning - [CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

autogluon - Fast and Accurate ML in 3 Lines of Code

model-optimization - A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

deephyper - DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

ds2 - Easiest way to use AI models without coding (Web UI & API support)

makeZFS_armbian - RockPro64 Based NAS setup guide with ZFS

sparseml - Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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]