shiyanrubing Goto Github PK
Name: kaili
Type: User
Name: kaili
Type: User
mobilenetv3 with pytorch,provide pre-train model
Models and examples built with TensorFlow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
DeepLab v3+ model in PyTorch. Support different backbones.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
PyTorch Implementations for DeeplabV3 and PSPNet
On The Variance Of The Adaptive Learning Rate And Beyond
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
real-time network architecture for mobile devices and semantic segmentation
lightweight and efficient cnn for semantic segmentation, my blog address:
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)
The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
a pytorch code about Residual Attention Network. This code is based on two projects from
ResNeSt: Split-Attention Networks
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)
SeetaFace 2
A collection of loss functions for medical image segmentation
Segmentation models with pretrained backbones. PyTorch.
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
SegNet implemetation using PyTorch
List of useful codes and papers for weakly supervised Semantic/Instance/Panoptic/Few Shot Segmentation
常用的语义分割架构结构综述以及代码复现
Pytorch implementation of Shift-Net: Image Inpainting via Deep Feature Rearrangement (ECCV, 2018)
Simplify training, evaluation, prediction in Pytorch
STEAL - Learning Semantic Boundaries from Noisy Annotations
根据《剑指offer》中的题目,用python来进行编写
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.