DeepLearning

深度学习领域模块化代码代码附有详细注释

Name		Name	Last commit message	Last commit date
CAN(人群计数,CV2维任务通用).py		CAN(人群计数,CV2维任务通用).py
ContraNorm(对比归一化层).py		ContraNorm(对比归一化层).py
Crossnorm-Selfnorm(领域泛化).py		Crossnorm-Selfnorm(领域泛化).py
Deepfake(深度伪造检测).py		Deepfake(深度伪造检测).py
DynamicFilter(频域模块动态滤波器用于CV2维图像).py		DynamicFilter(频域模块动态滤波器用于CV2维图像).py
EGA(边缘检测，CV2维图像通用).py		EGA(边缘检测，CV2维图像通用).py
EfficientAdditiveAttnetion.py		EfficientAdditiveAttnetion.py
F_Block(频域模块用于时间序列).py		F_Block(频域模块用于时间序列).py
Free_UNetModel(扩散模型).py		Free_UNetModel(扩散模型).py
GKONet((三维人体姿态估计).py		GKONet((三维人体姿态估计).py
ISL(用于点云任务).py		ISL(用于点云任务).py
LFA.py		LFA.py
LSKblock.py		LSKblock.py
LinAngularAttention.py		LinAngularAttention.py
MLP_Communicator(多模态适用).py		MLP_Communicator(多模态适用).py
MUSEAttention.py		MUSEAttention.py
MambaIR(CV二维图像).py		MambaIR(CV二维图像).py
MobileViTv2Attention.py		MobileViTv2Attention.py
OutlookAtt.py		OutlookAtt.py
PFNet(点云).py		PFNet(点云).py
Pacoloss(参数对比损失，用于对比学习).py		Pacoloss(参数对比损失，用于对比学习).py
ParNetAttention.py		ParNetAttention.py
Partial_conv3.py		Partial_conv3.py
README.md		README.md
S2Attention.py		S2Attention.py
SAM-单目深度估计-特征融合-CV2维度通用.py		SAM-单目深度估计-特征融合-CV2维度通用.py
SDM(3D任务).py		SDM(3D任务).py
SKNet.py		SKNet.py
SSPCAB(图像和视频异常检测，CV2维任务通用).py		SSPCAB(图像和视频异常检测，CV2维任务通用).py
SViT.py		SViT.py
ScConv.py		ScConv.py
SpatialGroupEnhance.py		SpatialGroupEnhance.py
TripletAttention.py		TripletAttention.py
UFOAttention.py		UFOAttention.py
VisionPermutator.py		VisionPermutator.py
Wave-pooling(轨迹预测，CV2维图像通用).py		Wave-pooling(轨迹预测，CV2维图像通用).py
efficient kan.py		efficient kan.py
kNNAttention.py		kNNAttention.py
lstm_model.py		lstm_model.py
sLSTM＆mLSTM(NLP和时序任务).py		sLSTM＆mLSTM(NLP和时序任务).py
simam_module.py		simam_module.py

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