haochenheheda Goto Github PK
Name: haochen wang
Type: User
Name: haochen wang
Type: User
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Minimal PyTorch implementation of YOLOv3
[CVPR2022] Official Implementation of ReferFormer
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral
A PyTorch Implementation of Single Shot MultiBox Detector
[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
Video Object Segmentation using Space-Time Memory Networks
implement of SwiftNet:Real-time Video Object Segmentation
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
Code for downloading and using the TAO dataset: http://taodataset.org/
A Java implemented Texas holdem and short deck Solver
Training code of Spatial Time Memory Network. Semi-supervised video object segmentation.
A semantic segmentation toolbox based on pytorch
VITA: Video Instance Segmentation via Object Token Association (NeurIPS 2022)
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
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.