automl VS simple-faster-rcnn-pytorch

Compare automl vs simple-faster-rcnn-pytorch and see what are their differences.

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper (by chenyuntc)
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automl simple-faster-rcnn-pytorch
5 1
5,143 3,621
1.0% -
6.2 0.0
10 days ago over 1 year ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.

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 2022-01-13.

simple-faster-rcnn-pytorch

Posts with mentions or reviews of simple-faster-rcnn-pytorch. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning simple-faster-rcnn-pytorch yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing automl and simple-faster-rcnn-pytorch you can also consider the following projects:

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

mmdetection - OpenMMLab Detection Toolbox and Benchmark

TFLiteClassification - TensorFlow Lite Image Classification Python Implementation

yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0

SipMask - SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

OwnPhotos - Self hosted alternative to Google Photos

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

opencv - Experimenting using Machine Vision OpenCV and Python to create software suitable for driving a Golf launch monitor similar to technology like SkyTrak, GC2 and GC Quad

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.

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

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