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AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
Automated deep learning algorithms implemented in PyTorch.
automatic differentiation engine written in Numpy
自动标注工具
AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
ZazuML - easy AutoML for Object Detection
use bayesian optimization to optimize object detection network based on mmdetection
Implementation of NeurIPS2020 paper: Auto-Panoptic: Multi-Component Architecture Search for Panoptic Segmentation
An implementation of AutoScale regression-based method
A speedy tool for image annotation (windows OS)
ICCV2021 Paper: AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection
The official implementation for the A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from Datasets.
Public Dataset of AVM (Around View Monitoring) System for Auto Parking
An implementation of AVP_SLAM and some new contributions
A basic implementation(not official code) of AVP-SLAM(IROS 2020) in simulation. https://arxiv.org/abs/2007.01813
A curated list of awesome anomaly detection resources
Awesome Crowd Counting
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion (CVPR 2021)
This repository is the C++ Source Code of several algorithms of Extracting Background, which are based on OpenCV libraries after I learn about the theory of these algorithms(including Frame-Difference, Gauss-Background-Difference, ViBe algorithms).
Bagua is a flexible and performant distributed training algorithm development framework.
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation (CVPR 2021)
Berkeley Deep Drive-X (eXplanation) dataset
Official code for BEVDepth.
Official code base of the BEVDet series .
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Official Repository of ICCV2021 Paper, BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning
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.