car-damage-detection
TensorFlow-Tutorials
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| car-damage-detection | TensorFlow-Tutorials | |
|---|---|---|
| 1 | 2 | |
| 19 | 9,250 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 3 years ago | over 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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car-damage-detection
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Implementing Detectron2 for car damage detection
Link to project : https://github.com/MrGrayCode/car-damage-detection
TensorFlow-Tutorials
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Probabilistic forecasting
"deep neural network" https://github.com/Hvass-Labs/TensorFlow-Tutorials
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Plagiarism is just bad
The majority of this code is taken from the TensorFlow-Tutorials. I highly recommend them to those who want to get started with TensorFlow.
What are some alternatives?
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
YOLO_Object_Detection - This is the code for "YOLO Object Detection" by Siraj Raval on Youtube
fastbook - The fastai book, published as Jupyter Notebooks
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
fastai - The fastai deep learning library
Practical_RL - A course in reinforcement learning in the wild
m1-machine-learning-test - Code for testing various M1 Chip benchmarks with TensorFlow.
food-recognition-benchmark-starter-kit - This repository is the main Food Recognition Benchmark template and Starter kit. Clone the repository to compete now!
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
GDR-Net - GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)
Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.