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deeplearning-muli-notes

Notes about courses Dive into Deep Learning by Mu Li

deeplearning-tensorflow2

本仓库我将使用谷歌TensorFlow2框架逐一复现经典的卷积神经网络：LeNet、AlexNet、VGG系列、GooLeNet、ResNet 系列、DenseNet 系列，以及现在比较经典的目标检测网络、语义分割网络等。

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

draw_convnet

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kalman-filter-in-single-object-tracking

A simple implementation of Kalman filter in single object tracking

multiscale-low-frequency-non-uniformity-correction

nanodet-pytorch-cpu

此代码用于目标检测，模型小，检测速度快速，适合没GPU显卡的嵌入式设备运行，比如“树莓派”、ARM开发板、嵌入式开发板。

netron

Visualizer for neural network, deep learning, and machine learning models

opencv-machine-learning

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

pytorch_primer

一个关于pytorch的入门教程，该教程写于2018年，之后pytorch版本经过更新，部分代码需要更改，使用者请自行改之。

sar-ship-detection-detectron2

SAR Ship detection with Detection2

sarshiptdevtoolkit

AIR-SARShip数据集的一些处理工具

tensorboardx

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

tensorwatch

Debugging, monitoring and visualization for Python Machine Learning and Data Science

tools

Some scripts or tools for daily using

vehicle-detection-and-tracking

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

video_analyst

A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.

website

yolov5_in_tf2_keras

tf2-keras implement yolov5

yolov5_obb

yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测