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在Android使用深度学习模型实现图像识别,本项目提供了多种使用方式,使用到的框架如下:Tensorflow Lite、Paddle Lite、MNN、TNN
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Reimplemented code for "Toward Characteristic-Preserving Image-based Virtual Try-On Network"
data struct homework
A Deep Learning based project for colorizing and restoring old images (and video!)
C/C++ library for retrieving information on files and directories
Android上基于FFmpeg开发的视频处理框架,简单易用,体积小,帮助使用者快速实现视频处理功能。包含以下功能:剪辑,裁剪,旋转,镜像,合并,分离,变速,添加LOGO,添加滤镜,添加背景音乐,加速减速视频,倒放音视频。 The video processing framework based on FFmpeg developed on Android is simple, easy to use, and small in size, helping users quickly realize video processing functions. Contains the following functions: editing, cropping, rotating, mirroring, merging, separating, variable speed, adding LOGO, adding filters, adding background music, accelerating and decelerating video, rewinding audio and video.
an Android app kind like Facerig(but simpler)
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)
React/ApolloGraphQL/Node/Mongo demo written in Typescript
The next generation high performance public chain for financial infrastructure.
Deep learning software for colorizing black and white images with a few clicks.
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)
The style transfer android example
Visualizer for neural network, deep learning, and machine learning models
清华大学OS公开课——课后练习
Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai
Protocol Buffers - Google's data interchange format
quantitative trading system based on deep learning and reinforcement learning
🔥💥RxFFmpeg 是基于 ( FFmpeg 4.0 + X264 + mp3lame + fdk-aac + opencore-amr + openssl ) 编译的适用于 Android 平台的音视频编辑、视频剪辑的快速处理框架,包含以下功能:视频拼接,转码,压缩,裁剪,片头片尾,分离音视频,变速,添加静态贴纸和gif动态贴纸,添加字幕,添加滤镜,添加背景音乐,加速减速视频,倒放音视频,音频裁剪,变声,混音,图片合成视频,视频解码图片,抖音首页,视频播放器及支持 OpenSSL https 等主流特色功能
Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Python Scripts for working with Tensorflow
Applying the machine learning tool "DeOldify" on videos, frame by frame.
computational zoom from raw sensor data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.