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advanced-java icon advanced-java

😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲:涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识

attention-cnn icon attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

dgl icon dgl

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

doppelganger icon doppelganger

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

ecanet icon ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

gtos icon gtos

Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"

java-eight-part icon java-eight-part

『Java八股文』Java面试套路,Java进阶学习,打破内卷拿大厂Offer,升职加薪!

javafamily icon javafamily

【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

learning-note icon learning-note

Java开发及面试(个人面试、工作总结、资料收集站)

senet icon senet

Squeeze-and-Excitation Networks

serm icon serm

Code for paper “SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories”

threadandjuc icon threadandjuc

⭐⭐⭐⭐高并发-高可靠-高性能three-high-import导入系统-高并发多线程进阶

timegan icon timegan

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

traja icon traja

Python tools for spatial trajectory and time-series data analysis

waking-up icon waking-up

计算机基础(计算机网络/操作系统/数据库/Git...)面试问题全面总结,包含详细的follow-up question以及答案;全部采用【问题+追问+答案】的形式,即拿即用,直击互联网大厂面试:rocket:;可用于模拟面试、面试前复习、短期内快速备战面试...

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