Pinned Repositories
-DataAug-and-NetRegularization
pytorch implements data enhancement and network regularization methods: cutmix, cutout, shakedrop, mixup, Label smoothing
Attention-mechanism-implementation
Self-attention、Non-local、SE、SK、CBAM、DANet
Fingerprint-Recognition-pytorch-for-mcu
Fingerprint Recognition model of pytorch . generate onnx for mcu.
MAX78000_SDK
MAX78000 Device Software Development Kit
MCU_AI
solution of run AI on the MCU. tinyML solution for stm32 / max78000
Posture-Estimation
Wait for the perfect
tinyml
torch-for-DLbegining-cifar
pytorch builds a neural network: details make your network more perfect
torch-template-for-deep-learning
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.
TorchCAM
CAM', 'ScoreCAM', 'SSCAM', 'ISCAM' 'GradCAM', 'GradCAMpp', 'SmoothGradCAMpp', 'XGradCAM', 'LayerCAM' using by PyTorch.
ZhugeKongan's Repositories
ZhugeKongan/torch-template-for-deep-learning
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.
ZhugeKongan/Attention-mechanism-implementation
Self-attention、Non-local、SE、SK、CBAM、DANet
ZhugeKongan/TorchCAM
CAM', 'ScoreCAM', 'SSCAM', 'ISCAM' 'GradCAM', 'GradCAMpp', 'SmoothGradCAMpp', 'XGradCAM', 'LayerCAM' using by PyTorch.
ZhugeKongan/-DataAug-and-NetRegularization
pytorch implements data enhancement and network regularization methods: cutmix, cutout, shakedrop, mixup, Label smoothing
ZhugeKongan/MCU_AI
solution of run AI on the MCU. tinyML solution for stm32 / max78000
ZhugeKongan/Fingerprint-Recognition-pytorch-for-mcu
Fingerprint Recognition model of pytorch . generate onnx for mcu.
ZhugeKongan/MAX78000_SDK
MAX78000 Device Software Development Kit
ZhugeKongan/Posture-Estimation
Wait for the perfect
ZhugeKongan/tinyml
ZhugeKongan/torch-for-DLbegining-cifar
pytorch builds a neural network: details make your network more perfect
ZhugeKongan/DataAug-Regularization
pytorch implements data enhancement and network regularization methods: cutmix, cutout, shakedrop, mixup, Label smoothing
ZhugeKongan/FSelectMix
Code for paper FSelectMix Regularization Strategy of Convolutional Neural Networks with Attention.
ZhugeKongan/learningPyQt5
All about PyQt5
ZhugeKongan/maxim_fingerprint_recognition
pytorch makefile c
ZhugeKongan/STL-IO
vector，list，deque ，stack，set，map，multimap，unordered_map，linklist，tree
ZhugeKongan/tinyCompiler
A tiny compiler achieve by C++ ，Implement the conversion of LISP to C .
ZhugeKongan/tvm_mlir_learn
tvm learn
ZhugeKongan/wmt_recorder_study
My MCU / Embedded Linux audio recorder study