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  • 👋 Hi, I’m @lizhuhua310
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lizhuhua310's Projects

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Probabilistic time series modeling in Python

analyze721trivium icon analyze721trivium

Practical Anlysis to the attacks on 721-round Trivium given by Fu et al. at Crypto'18

autodocstring icon autodocstring

vscode extension that generates docstrings for python files

awesome-java icon awesome-java

Collection of awesome Java project on Github(Github 上非常棒的 Java 开源项目集合).

awesome-programming-books icon awesome-programming-books

经典编程书籍大全,涵盖:计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

bfs icon bfs

The Baidu File System.

blockchain-explorer icon blockchain-explorer

Read-only mirror of https://gerrit.hyperledger.org/r/#/admin/projects/blockchain-explorer

chinese-ocr icon chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

cisper icon cisper

Codes for paper "Contextual Information and Commonsense Based Prompt for Emotion Recognition in Conversation" published in ECML-PKDD 2022.

cmu-11785-final-project icon cmu-11785-final-project

This is the repository for the final project of 11785-Intro to Deep Learning, Team 5. The topic we are doing is Time-Series Model, simulating trading decisions in the stock market with DQN.

convert-wxapp icon convert-wxapp

微信小程序,用户图片文字识别,基于Wepy开发

cryptanalysis-using-deep-neural-networks icon cryptanalysis-using-deep-neural-networks

We have proposed the optimized deep neural network approach for cryptanalysis of symmetric encryption algorithm 64-bit DES (Data encryption standard). Our approach has used backpropagation techniques with multiple hidden layers and advanced activation functions also we have addressed the problem of vanishing gradient. Further, the implementation results show that we have achieved 90% accuracy which is significantly higher as compared to previous approaches.

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

daagcn icon daagcn

This is the official source code of "DAAGCN: Dynamic Adaptive and Adversarial Graph Convolutional Network for Traffic Forecasting" based on Pytorch.

decomprc icon decomprc

An original implementation of ACL 2019, "Multi-hop Reading Comprehension through Question Decomposition and Rescoring"

deepmind icon deepmind

we will upload some articles about deepmind

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