automl VS SynthDet

Compare automl vs SynthDet and see what are their differences.

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automl SynthDet
7 3
6,154 350
0.7% 0.9%
5.0 2.9
22 days ago 10 months ago
Jupyter Notebook C#
Apache License 2.0 Apache License 2.0
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.

SynthDet

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

What are some alternatives?

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

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

AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

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

Deep-Learning-Push-Up-Counter - Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0

TFLiteClassification - TensorFlow Lite Image Classification Python Implementation

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

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.

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

make-sense - Free to use online tool for labelling photos. https://makesense.ai