TensorFlow-Tutorials
yolov3-tf2
| TensorFlow-Tutorials | yolov3-tf2 | |
|---|---|---|
| 2 | 3 | |
| 9,250 | 2,510 | |
| - | - | |
| 0.0 | 2.4 | |
| over 3 years ago | 4 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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
-
Probabilistic forecasting
"deep neural network" https://github.com/Hvass-Labs/TensorFlow-Tutorials
-
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.
yolov3-tf2
What are some alternatives?
car-damage-detection - Detectron2 for car damage detection using custom dataset
yolact - A simple, fully convolutional model for real-time instance segmentation.
YOLO_Object_Detection - This is the code for "YOLO Object Detection" by Siraj Raval on Youtube
tensorflow-yolo-v3 - Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
yolact - Tensorflow 2.x implementation YOLACT
Practical_RL - A course in reinforcement learning in the wild
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data
m1-machine-learning-test - Code for testing various M1 Chip benchmarks with TensorFlow.
saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
TACO - 🌮 Trash Annotations in Context Dataset Toolkit