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jus1mple's Projects

pointer-networks-pytorch icon pointer-networks-pytorch

Pointer Networks is a new neural architecture to learn the conditional probability of an output sequence with elements that are discrete tokens corresponding to positions in an input sequence.

pointer-nn-pytorch icon pointer-nn-pytorch

Pointer NN differs from the previous attention attempts in that, instead of using attention to weight hidden units of an encoder, it uses attention as a pointer to select a member of the input sequence as the output.

pointer_summarizer icon pointer_summarizer

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

pwmodels icon pwmodels

Password research often require modelling password distribution from a password leak. This module is a one stop for all known password models published. (#WorkInProgress)

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-seq2seq icon pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

pytorch_textgcn icon pytorch_textgcn

The PyTorch 1.6 and Python 3.7 implementation for the paper Graph Convolutional Networks for Text Classification

pytorchdocs icon pytorchdocs

PyTorch 官方中文教程包含 60 分钟快速入门教程,强化教程,计算机视觉,自然语言处理,生成对抗网络,强化学习。欢迎 Star,Fork!

seclists icon seclists

SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.

sentencepiece icon sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

shark-diffuseq icon shark-diffuseq

[ICLR'23] DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

similarity-metrics icon similarity-metrics

Password (String) Simialrity Metrics (e.g., Cosine Similarity, Levenshtein Edit distance

spring-boot-demo icon spring-boot-demo

该项目已成功集成 actuator(监控)、admin(可视化监控)、logback(日志)、aopLog(通过AOP记录web请求日志)、统一异常处理(json级别和页面级别)、freemarker(模板引擎)、thymeleaf(模板引擎)、Beetl(模板引擎)、Enjoy(模板引擎)、JdbcTemplate(通用JDBC操作数据库)、JPA(强大的ORM框架)、mybatis(强大的ORM框架)、通用Mapper(快速操作Mybatis)、PageHelper(通用的Mybatis分页插件)、mybatis-plus(快速操作Mybatis)、BeetlSQL(强大的ORM框架)、upload(本地文件上传和七牛云文件上传)、redis(缓存)、ehcache(缓存)、email(发送各种类型邮件)、task(基础定时任务)、quartz(动态管理定时任务)、xxl-job(分布式定时任务)、swagger(API接口管理测试)、security(基于RBAC的动态权限认证)、SpringSession(Session共享)、Zookeeper(结合AOP实现分布式锁)、RabbitMQ(消息队列)、Kafka(消息队列)、websocket(服务端推送监控服务器运行信息)、socket.io(聊天室)、ureport2(**式报表)、打包成war文件、集成 ElasticSearch(基本操作和高级查询)、Async(异步任务)、集成Dubbo(采用官方的starter)、MongoDB(文档数据库)、neo4j(图数据库)、docker(容器化)、JPA多数据源、Mybatis多数据源、代码生成器、GrayLog(日志收集)、JustAuth(第三方登录)、LDAP(增删改查)、动态添加/切换数据源、单机限流(AOP + Guava RateLimiter)、分布式限流(AOP + Redis + Lua)、ElasticSearch 7.x(使用官方 Rest High Level Client)、HTTPS、Flyway(数据库初始化)、UReport2(**式复杂报表)。

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