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Countering Adversarial Image using Input Transformations.
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
A curated list of neural architecture search (NAS) resources.
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
CogDL: An Extensive Toolkit for Deep Learning on Graphs
Acceptance rates for the major AI conferences
Methods and Implements of Deep Clustering
基于深度学习的开源中文知识图谱抽取框架
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
Facebook Low Resource (FLoRes) MT Benchmark
FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. Current general forecasting tools (Gluon-TS by amazon, Prophet by facebook etc.) can not process and model structural graph data, especially in spatial domains, also those tools suffer from tradeoff between usability and accuracy. To address these challenges, we design and develop FOST and aims to empower engineers and data scientists to build high-accuracy and easy-usability forecasting tools.
Global-to-Local Neural Networks for Document-Level Relation Extraction, EMNLP 2020
Must-read papers on graph neural networks (GNN)
Research code for EMNLP 2020 paper "HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training"
Code for the HowTo100M paper
Pytorch Implementation of our ACL 2020 Paper "Reasoning with Latent Structure Refinement for Document-Level Relation Extraction"
中文多跳问答数据集
An Open-Source Package for Neural Relation Extraction (NRE)
The official repo of the CVPR2021 oral paper: Representative Batch Normalization with Feature Calibration
SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas
Universal End2End Training Platform, including pre-training, classification tasks, machine translation, and etc.
PyTorch code for ICLR 2021 paper Unbiased Teacher for Semi-Supervised Object Detection
An official implementation for " UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation"
Video Feature Extractor for S3D-HowTo100M
Yolov5+SlowFast: Realtime Action Detection Based on PytorchVideo
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.