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joesrain's Projects

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

external-attention-pytorch icon external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

fbthrift icon fbthrift

Facebook's branch of Apache Thrift, including a new C++ server.

ffmpegaudioplayer icon ffmpegaudioplayer

A demo program to decode audio by FFmpeg and play by Apple Audio Queue Service.

finch icon finch

Deep NLP Examples in TensorFlow r1.6

gan icon gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

gcdwebserver icon gcdwebserver

Lightweight GCD based HTTP server for OS X & iOS (includes web based uploader & WebDAV server)

gpuimage icon gpuimage

An open source iOS framework for GPU-based image and video processing

hive icon hive

Lightweight and blazing fast key-value database written in pure Dart.

infer icon infer

A static analyzer for Java, C and Objective-C

interpy-zh icon interpy-zh

📘《Python进阶》(Intermediate Python 中文版)

ios-h264hw-toolbox icon ios-h264hw-toolbox

Simple iOS8 app which uses new iOS8 based hardware acceleration for H264 (Using videotoolbox)

javaguide icon javaguide

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

jeesite icon jeesite

JeeSite 是一个企业信息化开发基础平台,Java企业应用开源框架,Java EE(J2EE)快速开发框架,使用经典技术组合(Spring、Spring MVC、Apache Shiro、MyBatis、Bootstrap UI),包括核心模块如:组织机构、角色用户、权限授权、数据权限、内容管理、工作流等。

joesue4 icon joesue4

Hello everyone,this is the newest UE4 code

lflivekit icon lflivekit

LaiFeng IOS Live Kit,H264 and AAC Hard coding,support GPUImage Beauty, rtmp transmission,weak network lost frame,Dynamic switching rate

logan icon logan

Logan is a lightweight case logging system based on mobile platform.

machine-learning-notes icon machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接

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