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- RepLKNet-pytorch/main.py at main · DingXiaoH/RepLKNet-pytorch · GitHub
- Warning from setup.py · Issue #42 · DingXiaoH/RepLKNet-pytorch · GitHub
- Questions about re-param of models · Issue #55 · DingXiaoH/RepLKNet-pytorch · GitHub
- No module named 'timm.optim.novograd‘ · Issue #52 · DingXiaoH/RepLKNet-pytorch · GitHub
- depthwise_conv2d_implicit_gemm installation · Issue #45 · DingXiaoH/RepLKNet-pytorch · GitHub
- RepLKNet-31L 21k weights seems to be wrong · Issue #3 · DingXiaoH/RepLKNet-pytorch · GitHub
- Using DW 3x3 in stem block · Issue #49 · DingXiaoH/RepLKNet-pytorch · GitHub
- ERF is smaller after changing the input image size · Issue #25 · DingXiaoH/RepLKNet-pytorch · GitHub
- depthwise_conv2d_implicit_gemm slower than nn.Conv2d · Issue #17 · DingXiaoH/RepLKNet-pytorch ...
- GitHub - DingXiaoH/RepLKNet-pytorch: Scaling Up Your Kernels to 31x31: Revisiting Large Kernel ...