Xianfan Lin's repositories
pytorch-resnet-ssd
Single Shot MultiBox Detector in PyTorch, with ResNet being the base network
ATSS-EfficientDet-PyTorch
ATSS-EfficientDet implemented in PyTorch, outperforming the original EfficientDet. Weights are released.
caffe-mobilenet
A caffe implementation of mobilenet's depthwise convolution layer.
CARN-pytorch
Official implementation of Efficient Cascading Residual Network for SR
DeblurGAN-tf
Tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
DiracDeltaNet
PyTorch implementation of DiracDeltaNet from paper Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs
MobileNet-Caffe
Caffe Implementation of Google's MobileNets
onnx2caffe
pytorch to caffe by onnx
pycococreator
Helper functions to create COCO datasets
pytorch-deform-conv-v2
PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)
pytorch-resnet
ResNet training script in PyTorch
ResNet-18-Caffemodel-on-ImageNet
ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%
RFBNet
Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018
siamfc-pytorch
A clean PyTorch implementation of SiamFC tracking/training, evaluated on 7 datasets.
SRMD-pytorch
A PyTorch Implementation of "Learning a Single Convolutional Super-Resolution Network for Multiple Degradations"
SRN-Deblur
Repository for Scale-recurrent Network for Deep Image Deblurring
ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
ssds.pytorch
Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.
STM-Training
training script for space time memory network
Stronger-yolo
Improve yolo with latest paper
TENet
Official Pytorch Implementation for Trinity of Pixel Enhancement: a Joint Solution for Demosaicing, Denoising and Super-Resolution
Tensorflow-for-stock-prediction
Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.
torch2trt
An easy to use PyTorch to TensorRT converter
Waifu2x
PyTorch on Super Resolution
wdsr_ntire2018
Code of our winning entry to NTIRE 2018 super-resolution challenge, CVPR Workshop 2018
weapp-beauty
一个测颜值的小程序，只为最美的你~
WESPE
Manipulating image quality using GANs