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醉枫's Projects

rbsrealmbrowser icon rbsrealmbrowser

A lightweight RealmSwift database browser written in Swift based on NBNRealmBrowser

react icon react

A declarative, efficient, and flexible JavaScript library for building user interfaces.

react-antd icon react-antd

基于react + redux + immutable + less + ES6/7 + webpack2.0 + fetch + react-router + antd(1.x)实现的SPA后台管理系统模板

redisson icon redisson

Redisson - distributed and scalable Java data structures (Set, ScoredSortedSet, SortedSet, Map, ConcurrentMap, List, Queue, BlockingQueue, Deque, Lock, AtomicLong, CountDownLatch, Publish / Subscribe, HyperLogLog, Redis pipelining) on top of Redis server. Based on own high-performance async and lock-free Java Redis client

redroid-doc icon redroid-doc

redroid (Remote-Android) is a multi-arch, GPU enabled, Android in Cloud solution. Track issues / docs here

retrofit icon retrofit

Type-safe HTTP client for Android and Java by Square, Inc.

roberta_zh icon roberta_zh

RoBERTa中文预训练模型: RoBERTa for Chinese

rpc4j icon rpc4j

lightweight rpc framework sample

rxjava icon rxjava

RxJava – Reactive Extensions for the JVM – a library for composing asynchronous and event-based programs using observable sequences for the Java VM.

sdrn icon sdrn

Source code of the paper "Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction, ACL 2020."

seafile icon seafile

Open source cloud storage with features on privacy protection and teamwork

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

sentinel icon sentinel

A lightweight flow-control library providing high-available protection and monitoring (高可用防护的流量管理框架)

servo icon servo

Netflix Application Monitoring Library

sessdb icon sessdb

A Big, Fast, Persistent Key/Value Store based on a variant of LSM(Log Structured Merge Tree), inspired by Google LevelDB.

shap icon shap

A game theoretic approach to explain the output of any machine learning model.

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