TensorFlow-Examples vs car-damage-detection

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TensorFlow-Examples		car-damage-detection
	Project
2	Mentions	1
43,210	Stars	19
-	Growth	-
0.0	Activity	0.0
3 months ago	Latest Commit	almost 3 years ago
Jupyter Notebook	Language	Jupyter Notebook
GNU General Public License v3.0 or later	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.

TensorFlow-Examples

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

Keras vs. TensorFlow
1 project | dev.to | 6 Jun 2021

A linear regression model
Tensorman and RTX 30-Series GPU's
1 project | /r/pop_os | 19 Mar 2021

When I run this simple project, the log output is below. There is a 5-minute pause at 16:48. There is a second pause at the end of the script before the output of the example (final output excluded). This project runs quickly if I exclude "--gpu" and run it on the CPU.

car-damage-detection

Posts with mentions or reviews of car-damage-detection. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-07.

Implementing Detectron2 for car damage detection
2 projects | /r/computervision | 7 Jun 2021

Link to project : https://github.com/MrGrayCode/car-damage-detection

What are some alternatives?

When comparing TensorFlow-Examples and car-damage-detection you can also consider the following projects:

lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)

detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

graphkit-learn - A python package for graph kernels, graph edit distances, and graph pre-image problem.

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

pyVHR - Python framework for Virtual Heart Rate

fastbook - The fastai book, published as Jupyter Notebooks

fastai - The fastai deep learning library

Deep-Learning-Hardware-Benchmark - This repository contains the proposed implementation for benchmarking in order to evaluate whether a setup of hardware is feasible for deep learning projects.

food-recognition-benchmark-starter-kit - This repository is the main Food Recognition Benchmark template and Starter kit. Clone the repository to compete now!

rmi - A learned index structure

GDR-Net - GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)