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SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
This toolkit was designed for the fast and efficient development of modern machine comprehension models, including both published models and original prototypes.
Joint deep network for feature line detection and description
SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.
SOLOv2: Dynamic, Faster and Stronger, achives 39.5mAP on coco test-dev (36 epochs result)
Code for ACL 2020 paper "Rigid Formats Controlled Text Generation":https://arxiv.org/abs/2004.08022
TensorFlow-based neural network library
Second-Order Pooling for Graph Neural Networks
Simple, online, and realtime tracking of multiple objects in a video sequence.
A new kind of pooling layer for faster and sharper convergence
🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)
SOTR: Segmenting Objects with Transformers
关于一些经典论文源码的逐行中文笔记
Sourcetrail - free and open-source interactive source explorer
Collaborative lecture notes for Spring '19 NYU DL class
中文空间语义理解评测
Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao. Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells, In: Proceedings of ICLR 2020, Apr. 26 - 30, 2020, Addis Ababa, ETHIOPIA .
A Blender script to procedurally generate 3D spaceships
:rocket: Open Source REST API for rocket, core, capsule, pad, and launch data
💫 Industrial-strength Natural Language Processing (NLP) in Python
spacy-wordnet creates annotations that easily allow the use of wordnet and wordnet domains by using the nltk wordnet interface
spaCy tutorial in English and Japanese. spacy-transformers, BERT, GiNZA.
Semantic Image Synthesis with SPADE
Code for using and evaluating SpanBERT.
Contextualized Sparse Representations for Real-Time Open-Domain Question Answering (Lee et al., ACL 2020)
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
State of the Art Natural Language Processing
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. Ranked 1st place on KITTI. (MVA 2019 Conference)
Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"
Submanifold sparse convolutional networks
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.