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algorithm

learn algorithm and note.

alpha-iou

Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

drl-deep-reinforcement-learning

Learn DRL about robotic control;let the manipulator learn graps themself.

dynamicrelu

Implementation of Dynamic ReLU on Pytorch

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

ghostnet-pytorch

unofficial implementation of GhostNet in PyTorch

machinelearning_ass2

神经网络的实现，包括bp神经网络和rbf神经网络

mobile-yolov5-pruning-distillation

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

open-aff

code and trained models for "Attentional Feature Fusion"

path-planning-algorithms

Many path planning algorithms implemented as a part of Robotics Course for eg. A*, D*, RRT, RRT*

polygonobjectdetection

This repository is based on Ultralytics/yolov5, with adjustments to enable polygon prediction boxes.

pso-rbf-nn

使用粒子群算法优化的RBF神经网络进行预测。RBF neural network optimized by particle swarm optimization is used for prediction.

pytorch-yolov4

Minimal PyTorch implementation of YOLOv4

pytorch_yolov4

PyTorch implementation of YOLOv4

rbfn

Radial Basis Function Network - PyTorch

rbfn_matlab

Radial Basis Function Network implementation in Matlab

robotic-control

利用stm32进行机械臂的制作与控制。

rotation-detect-yolov5_poly

springcloud

尚硅谷springCloud学习

springcloud-config

learn spring cloud

ultralytics-yolov3-cluster-nms

Cluster-NMS into YOLOv3 Pytorch

yolo-fastest

:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB

yolo-multi-backbones-attention

Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization

yolop

You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）

yolov5-comment

yolov5的注释版本

yolov5-lite

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

yolov5-multibackbone-compression

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2,Mobilenetv3Small), Pruning and Quantization(8bit) Compression Tool Box.

yolov5_dota_obb

YOLOv5 in DOTA with CSL_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于YOLOv5的旋转目标检测

yolov5satellite

YOLOv5 in PyTorch > ONNX > CoreML > TFLite