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About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
This repo includes ChatGPT prompt curation to use ChatGPT better.
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
A list of Twitter datasets and related resources.
Repository for benchmarking graph neural networks
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0
Must-read papers on graph foundation models (GFMs)
An index of recommendation algorithms that are based on Graph Neural Networks.
Must-read papers on graph neural networks (GNN)
Hierarchical multi-label classification networks
Official code for CARec: Content-Aware Point-of-Interest Recommendation via Adaptive Bayesian Personalized Ranking (ICONIP 2019)
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
A comprehensive collection of recent papers on graph deep learning
The code and dataset for paper "MAUIL: Multi-level Attribute Embedding for Semi-supervised User Identity Linkage"
Neural Collaborative Filtering
兴趣点推荐相关论文、模型和资源。
PyGCL: A PyTorch Library for Graph Contrastive Learning
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
An open-source framework for self-supervised recommender systems.
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
A Library for Advanced Deep Time Series Models.
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.
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.