yiyang-wang Goto Github PK

.tmux

🇫🇷 Oh My Tmux! Pretty & versatile tmux configuration made with ❤️

12306

12306智能刷票，订票

2019ccf_visualization

2020_algorithm_intern_information

2020年的算法实习岗位/校招公司信息表，部分包括内推码，和常见深度学习算法岗面试题及答案，暑期计算机视觉实习面经和总结

administrative-divisions-of-china

中华人民共和国行政区划：省级（省份直辖市自治区）、 地级（城市）、 县级（区县）、 乡级（乡镇街道）、 村级（村委会居委会） ，**省市区镇村二级三级四级五级联动地址数据。

adversarial-attack-papers

afn

(ICCV'19 Best Paper Nomination) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation

ai-job-interview

AI算法岗面试经验汇总

aiinterview

算法工程师面试题整理

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

algorithmjob

anomaly-detection

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

automihoyobbs

米游社自动签到，支持：崩坏二、崩坏三、原神，米游币自动获取

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

bgnn

bh3cn_switchserver

「崩坏3」跨服（HTTP Catcher / iHTTP Tracker / Thor / Shadowrocket / Pepi / Quantumult / Quantumult X / Surge 4 / Loon）（iOS 端 → 安卓国服）

biasedpulearnig

BiasedPUlearnig: Positive and Unlabeled Data with a Selection Bias (ICLR 2019).

biliroaming

哔哩漫游，解除B站客户端番剧区域限制的Xposed模块，并且提供其他小功能。An Xposed module that unblocks bangumi area limit of BILIBILI with miscellaneous features.

ccks_baidu_entity_link

ccks baidu entity link 实体链接 第一名

cg3

This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning].

cluster-gcn

基于pymetis的Cluster-GCN，参考自https://github.com/benedekrozemberczki/ClusterGCN，略作修改

clustergcn

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

dage

Domain Adaptation using Graph Embedding

dassl.pytorch

A PyTorch toolbox for domain adaptation and semi-supervised learning.

data_mining_models

Basic data mining model, including feature importance display

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

deepgbm

SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.