Cream VS AutoML

Compare Cream vs AutoML and see what are their differences.

Cream

This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/AutoML] (by microsoft)

AutoML

This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream] (by microsoft)
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Cream AutoML
3 1
261 272
- -
8.2 8.1
over 2 years ago over 2 years 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.

Cream

Posts with mentions or reviews of Cream. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-06.

AutoML

Posts with mentions or reviews of AutoML. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-10.

What are some alternatives?

When comparing Cream and AutoML you can also consider the following projects:

SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)

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

yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

MPViT - [CVPR 2022] MPViT:Multi-Path Vision Transformer for Dense Prediction

NUWA - A unified 3D Transformer Pipeline for visual synthesis

T2T-ViT - ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

multiface - Hosts the Multiface dataset, which is a multi-view dataset of multiple identities performing a sequence of facial expressions.

makeZFS_armbian - RockPro64 Based NAS setup guide with ZFS

latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models

deeplab2 - DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.