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Basement

basement	related information
vscode	vscode
Linux	Linux
Git	Git
Markdown	Markdown
Python	Python
C	C
C++	C++
Miniconda	Miniconda
Server服务器教程	Server-connection
WSL2(教程)	[WSL2]
Chatgpt	[Chatgpt]
netron(神经网络可视化工具)	[netron]

MCU

• 详情点击这里
• 以下列出已有系列

brand_name	related information
stm32F1-series
stm32F2-series
stm32F3-series
stm32F4-series
stm32F7-series
stm32H5-series
stm32H7-series
stm32G4-series
TC26x
RK3568
RK3588
wch32
stc32

system_control_related_algorithm 系统控制&&通讯算法(stm32)

control_algorithm	related information	code_example(C or CPP)
PID		[PID_c_best],[PID_h_best];PID1_c,PID1_h;[PID2_c],[PID2_h]；
MPC		[MPC_c_best],[MPC_h_best];[MPC1_c],[MPC1_h];[MPC2_c],[MPC2_h]；
LQR		[LQR_c_best]，[LQR_h_best];[LQR1_c],[LQR1_h];[LQR2_c],[LQR2_h]；
Kalman_filter(卡尔曼滤波)		[Kalman_filter_c_best]，[Kalman_filter_h_best];kalman_filter1_c,kalman_filter1_h;[kalman_filter2_c],[kalman_filter1_h]；
Quaternion(四元素陀螺仪解算)		[Quaternion_c_best]，[Quaternion_h_best];Quaternion1_c,Quaternion1_h;[Quaternion2_c],[Quaternion2_h]；
losspass_filter(低通滤波)		[lowpass_filter_c_best],[lowpass_filter_h_best];lowpass_filter1_c,lowpass_filter1_h;[lowpass_filter2_c],[lowpass_filter2_h]
I2C		I2C_hal_cI2C_hal_h
CAN

常用电机控制算法（仅仅提供参考，仅供入门）

|步进电机(tb6600驱动) | | | |直流减速电机(tb6612驱动) | | | |大疆M2006&&M3508(C610&C620-CAN) | | | |大疆M6020(C630-CAN) | | | | | | | | | | | | | | |

Computer-Vision

model	Paper	CODE
YOLO-series	YOLOv1;YOLOv2;YOLOv3;YOLOv4;YOLOv5;	[YOLOv1];YOLOv2;YOLOv3;YOLOv4;YOLOv5;
	[YOLOv6];[YOLOv7];[YOLOv8];[YOLOv9];	YOLOv6;YOLOv7;YOLOv8;YOLOv9;YOLOv5lite
Resnet(Deep Residual Learning for Image Recognition)	Resnet;	Resnet;
RDN(Residual Dense Network for Image Super-Resolution)	RDN;	RDN;
ELC(Efficient Layer Compression Without Pruning)	ELC;	[ELC];
GhostSR(GhostSR: Learning Ghost Features for Efficient Image Super-Resolution)	GhostSR	[GhostSR]
CNN(Gradient-Based Learning Applied to Document Recognition)	CNN	[CNN]
RCNN(Rich feature hierarchies for accurate object detection and semantic segmentation)	RCNN	[RCNN]
Fast R-CNN	Fast_R-CNN	[Fast_R-CNN]
Faster R-CNN(Towards Real-Time Object Detection with Region Proposal Networks)	Faster_R-CNN	[Faster_R-CNN]
DPM(Object Detection with Discriminatively Trained Part Based Models)	DPM	[DPM]
Mark R-CNN	Mark R-CNN	[Mark_R-CNN]
Vision Transformer( AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE)	Vision_Transformer	[Vision_Transformer]
Unet(Convolutional Networks for Biomedical Image Segmentation)	Unet	[Unet]
DETR(End-to-End Object Detection with Transformers)	DETR	[DETR]

Large-Language-Model

model	Paper	CODE
Transformer	Transformer	[Transformer]

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