david082 Goto Github PK

2021-digix-baseline

2021 huawei DIGIX competition baseline

2021-qianyan-question-matching

adversarial_time_to_event

ICML 2018: "Adversarial Time-to-Event Modeling"

adversarialattackinceptionv3

Attack InceptionV3 net using FGM( fast gradient method) and show saliency maps.

algorithm_for_interview-chinese

Algorithm for Interview（面试算法笔记-中文）

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

all-in-nlp

All in nlp.

alphafm

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

angel

A Flexible and Powerful Parameter Server for large-scale machine learning

atec2018-nlp

2018年蚂蚁金服金融大脑赛题分享

attention-learn-to-route

Attention based model for learning to solve different routing problems

attention-pytorch

注意力机制实践

attentional-interfaces

My O'Reilly Publications

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deeplearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

awesome-gnn4tdl

Graph Neural Networks for Tabular Data Learning (GNN4TDL)

awesome-java-leetcode

:crown: LeetCode of algorithms with java solution(updating).

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-sentence-embedding

A curated list of pretrained sentence and word embedding models

awesome-visual-transformers

[TNNLS] A Comprehensive Survey of Awesome Visual Transformer Literatures.

bdci2019-sentiment-classification

CCF BDCI 2019 互联网新闻情感分析 复赛top1解决方案

bert_seq2seq

pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。

bpr

PyTorch Implementation of "BPR: Bayesian Personalized Ranking from Implicit Feedback"

cal

[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua.

cassava-leaf-disease-classification

[kaggle] 3rd place solution :herb:

causal_reading_group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

causalegm

A General Causal Inference Framework by Encoding Generative Modeling

cgnn

Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"