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Name: Duo Li
Type: User
Name: Duo Li
Type: User
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)
PyTorch implementation of CondConv and MobileNetV2 model
Implementation of course Convolutional Neural Networks created by deeplearning.ai on Coursera
PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models
[CVPR 2020] Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives
A collection of self-attention modules and pre-trained backbones
PyTorch implementation of EfficientNet-lite and a spectrum of pre-trained models on ImageNet
PyTorch implementation of EfficientNetV2 family
Face Attribute Prediction on CelebA benchmark with PyTorch Implementation
73.6% GhostNet 1.0x pre-trained model on ImageNet
[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions, surpassing MobileNetV2
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
PyTorch implementation of Lambda Network and pretrained Lambda-ResNet
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
PyTorch implementation of MLP-Mixer
OpenMMLab Pre-training Toolbox and Benchmark
72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet
PyTorch implementation of MobileNetV4 family
Rethinking Bottleneck Structure for Efficient Mobile Network Design
PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models
[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
PyTorch-style and human-readable RegNet with a spectrum of pre-trained models
[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images
A PyTorch Implementation of Single Shot MultiBox Detector
[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving
End-to-end weakly-supervised semantic alignment
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.