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Name: Xia Qiang Tang
Type: User
Bio: M.Eng from Tongji University
Name: Xia Qiang Tang
Type: User
Bio: M.Eng from Tongji University
[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
Official GitHub repository for Argoverse dataset
开包可用的多线程下载器
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Add bisenetv2. My implementation of BiSeNet
Download City Scapes Dataset using this script
README and scripts for the Cityscapes Dataset
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.
DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
Fully Convolutional HarDNet for Segmentation in Pytorch
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
[CVPR 2021] "Multimodal Motion Prediction with Stacked Transformers": official code implementation and project page.
Models and examples built with TensorFlow
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
Python sample codes for robotics algorithms.
PyTorch U-Net on Cityscapes Dataset
:four_leaf_clover: Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
Caffe Protofiles for MSRA ResNet: train prototxt
Example code to accompany the book Programming Robots with ROS
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
Codebase for semantic segmentation experiments
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.