Braylon1002
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🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
2020 MIND news recomendation first place solution
《简单粗暴 LaTeX》出版图书开源仓库 | The opensource repo for my published LaTeX book.
A collection of important graph embedding, classification and representation learning papers with implementations.
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"
MVIN: Learning Multiview Items for Recommendation, SIGIR 2020
Dataset Batch(offline) Reinforcement Learning for recommender system
EANN: event-adversarial neural networks for multi-modal fake news detection
This is the source code for paper: KRED: Knowledge-Aware Document Representation for NewsRecommendations
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.
Tensorflow prebuilt binary for Windows
An Open-Source Package for Neural Relation Extraction (NRE)
Best Practices on Recommendation Systems
Deep-Learning based CTR models implemented by PyTorch
手写实现李航《统计学习方法》书中全部算法
网络文件安全传输系统，其中利用TCP协议进行文件传输，SSL技术进行加密，同时结合线程池实现多台客户机同时向服务机上传或下载文件的功能。
PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM
this repository is a Influence Maximization tools kit, including Classic methods and algorithms for papers in recent years. Hopes to fill the gap in Maximizing Impact Problem in github.
Benchmark for sound event localization task of DCASE 2019 challenge