Peng's repositories
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
softmax_variants
PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss
AdamW-pytorch
Implementation and experiment for AdamW on pytorch
awesome-deeplearning-resources
Deep Learning and deep reinforcement learning research papers and some codes
awesome_face_antispoofing
Single Shot Face Anti-spoofing.
CBAM-tensorflow
CBAM implementation on TensowFlow
daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
deep-learning-notes
Experiments with Deep Learning
DropBlock-pytorch
Implementation of DropBlock in Pytorch
efficient_densenet_pytorch
A memory-efficient implementation of DenseNets
Face-Liveness-Detection
Face Liveness Detection in C++ and MATLAB (Python version is being developed).
Fast-MTCNN
a casual work about retraining to optimize mtcnn Pnet and ONet. it can achieve 100+fps on CPU with minSize 60 (1920x1080) on intel i7 6700k
group_normalization
pytorch implementation of group normalization in https://arxiv.org/abs/1803.08494
incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Multiclass-Classification-Pytorch-Embeddings-and-Ensembles
Multiclass classification using Embeddings in Pytorch and Ensemble voting approach
opencv-mtcnn
An implementation of MTCNN Face detector using OpenCV's DNN module
pytorch-classification
Classification with PyTorch.
pytorch_resnet_cifar10
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
pytorch_Squeezenet
Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data to come
ResNet-18-Caffemodel-on-ImageNet
ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%
ResNeXt.pytorch
Reproduces ResNet-V3 with pytorch
Shufflenet-v2-Pytorch
Perfect implement. Model shared. x0.5 (Top1:60.646) and 1.0x (Top1:69.402).
stereoTeethML
project c