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3 Commits
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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DeepLearning

深度学习领域模块化代码 代码附有详细注释

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  • Python 100.0%