automl VS SipMask

Compare automl vs SipMask and see what are their differences.


SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020) (by JialeCao001)
Our great sponsors
  • - Download’s Tech Salary Report
  • Scout APM - Truly a developer’s best friend
  • SonarLint - Clean code begins in your IDE with SonarLint
automl SipMask
5 1
5,143 319
1.0% -
6.2 0.0
9 days ago over 1 year ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.


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 2022-01-13.


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

We haven't tracked posts mentioning SipMask yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing automl and SipMask you can also consider the following projects:

simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper

TFLiteClassification - TensorFlow Lite Image Classification Python Implementation

Yet-Another-EfficientDet-Pytorch - The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

efficientdet-pytorch - A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

mlkit - A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS


FLAML - A fast library for AutoML and tuning.

gpt-3 - GPT-3: Language Models are Few-Shot Learners

SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data