TensorFlow-Tutorials VS car-damage-detection

Compare TensorFlow-Tutorials vs car-damage-detection and see what are their differences.

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TensorFlow-Tutorials car-damage-detection
2 1
9,250 19
- -
0.0 0.0
over 3 years ago almost 3 years ago
Jupyter Notebook Jupyter Notebook
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.

TensorFlow-Tutorials

Posts with mentions or reviews of TensorFlow-Tutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-20.

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.

What are some alternatives?

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

YOLO_Object_Detection - This is the code for "YOLO Object Detection" by Siraj Raval on Youtube

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

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

fastbook - The fastai book, published as Jupyter Notebooks

Practical_RL - A course in reinforcement learning in the wild

fastai - The fastai deep learning library

m1-machine-learning-test - Code for testing various M1 Chip benchmarks with TensorFlow.

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

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

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

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