Meng Yan's repositories
ML_Practice
ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html
Involution
PyTorch reimplementation of the paper "Involution: Inverting the Inherence of Convolution for Visual Recognition" (2D and 3D Involution) [CVPR 2021].
YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
involution_pytorch
Unofficial PyTorch implementation of the Involution layer from CVPR 2021
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
vision
Datasets, Transforms and Models specific to Computer Vision
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
efficient_densenet_pytorch
A memory-efficient implementation of DenseNets
Urinary-Sediment-Dataset
a dataset consisting of 5,376 annotated images corresponding to 7 categories of urinary particle
ArithmeticCoding
Image compression using arithmetic coding algorithm
Huffman-Coding
信息论大作业
KNEEL
Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
pytorch-mobilenet-v2
A PyTorch implementation of MobileNet V2 architecture and pretrained model.
PyTorch-Tutorial
Build your neural network easy and fast
CBAM.PyTorch
Non-official implement of Paper：CBAM: Convolutional Block Attention Module
vehicle-license-plate-recognition
:fire: :fire::fire:基于Python的车牌检测和识别系统：
deeplab-pytorch
PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC
sparse-to-dense.pytorch
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)
SKNet
Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu：https://zhuanlan.zhihu.com/p/59690223
SNIPER-mxnet
MXNet fork compatible with SNIPER object detector
keras-applications
Reference implementations of popular deep learning models.
caffe
Caffe: a fast open framework for deep learning.
DenseNet-Caffe
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
SENet-Caffe
A Caffe Re-Implementation of SENet
MobileNet-Caffe
Caffe Implementation of Google's MobileNets (v1 and v2)
SENet
Squeeze-and-Excitation Networks
FPN_Faster_RCNN
a tensorflow implementation for FPN
tutorials
机器学习相关教程
Xception-caffe
Xception implemented with caffe