Li Shengyan's repositories
torch-template-for-deep-learning
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.
Attention-mechanism-implementation
Self-attention、Non-local、SE、SK、CBAM、DANet
-DataAug-and-NetRegularization
pytorch implements data enhancement and network regularization methods: cutmix, cutout, shakedrop, mixup, Label smoothing
Fingerprint-Recognition-pytorch-for-mcu
Fingerprint Recognition model of pytorch . generate onnx for mcu.
MAX78000_SDK
MAX78000 Device Software Development Kit
Posture-Estimation
Wait for the perfect
torch-for-DLbegining-cifar
pytorch builds a neural network: details make your network more perfect
DataAug-Regularization
pytorch implements data enhancement and network regularization methods: cutmix, cutout, shakedrop, mixup, Label smoothing
FSelectMix
Code for paper FSelectMix Regularization Strategy of Convolutional Neural Networks with Attention.
learningPyQt5
All about PyQt5
maxim_fingerprint_recognition
pytorch makefile c
tinyCompiler
A tiny compiler achieve by C++ ,Implement the conversion of LISP to C .
tvm_mlir_learn
tvm learn
wmt_recorder_study
My MCU / Embedded Linux audio recorder study