Pinned Repositories
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！
robotic-control
利用stm32进行机械臂的制作与控制。
learncrazy's Repositories
learncrazy/robotic-control
利用stm32进行机械臂的制作与控制。
learncrazy/Algorithm
learn algorithm and note.
learncrazy/Alpha-IoU
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression
learncrazy/darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
learncrazy/DRL-Deep-Reinforcement-Learning
Learn DRL about robotic control;let the manipulator learn graps themself.
learncrazy/DynamicReLU
Implementation of Dynamic ReLU on Pytorch
learncrazy/ECANet
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
learncrazy/ghostnet-pytorch
unofficial implementation of GhostNet in PyTorch
learncrazy/MachineLearning_Ass2
神经网络的实现，包括bp神经网络和rbf神经网络
learncrazy/mobile-yolov5-pruning-distillation
mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！
learncrazy/open-aff
code and trained models for "Attentional Feature Fusion"
learncrazy/Path-Planning-Algorithms
Many path planning algorithms implemented as a part of Robotics Course for eg. A*, D*, RRT, RRT*
learncrazy/PolygonObjectDetection
This repository is based on Ultralytics/yolov5, with adjustments to enable polygon prediction boxes.
learncrazy/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.
learncrazy/pytorch-YOLOv4
Minimal PyTorch implementation of YOLOv4
learncrazy/PyTorch_YOLOv4
PyTorch implementation of YOLOv4
learncrazy/Rotation-Detect-yolov5_poly
learncrazy/springCloud
尚硅谷springCloud学习
learncrazy/springcloud-config
learn spring cloud
learncrazy/ultralytics-YOLOv3-Cluster-NMS
Cluster-NMS into YOLOv3 Pytorch
learncrazy/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
learncrazy/YOLO-Multi-Backbones-Attention
Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization
learncrazy/YOLOP
You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）
learncrazy/yolov5-comment
yolov5的注释版本
learncrazy/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~
learncrazy/YOLOv5-Multibackbone-Compression
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2,Mobilenetv3Small), Pruning and Quantization(8bit) Compression Tool Box.
learncrazy/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
learncrazy/yoloV5_modify_smalltarget
YOLOV5 小目标检测修改版
learncrazy/yolov5_transformer
Yolov5 with transformers
learncrazy/yolov5satellite
YOLOv5 in PyTorch > ONNX > CoreML > TFLite