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classificationforandroid icon classificationforandroid

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

colorization icon colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

cp-vton icon cp-vton

Reimplemented code for "Toward Characteristic-Preserving Image-based Virtual Try-On Network"

deoldify icon deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

dirent icon dirent

C/C++ library for retrieving information on files and directories

epmedia icon epmedia

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.

ffdnet icon ffdnet

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

fullstack icon fullstack

React/ApolloGraphQL/Node/Mongo demo written in Typescript

huobi-chain icon huobi-chain

The next generation high performance public chain for financial infrastructure.

meta-sr-pytorch icon meta-sr-pytorch

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)

netron icon netron

Visualizer for neural network, deep learning, and machine learning models

pconv-keras icon pconv-keras

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

protobuf icon protobuf

Protocol Buffers - Google's data interchange format

q_trading icon q_trading

quantitative trading system based on deep learning and reinforcement learning

rxffmpeg icon rxffmpeg

🔥💥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

seq2seq icon seq2seq

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

stockpredictionai icon stockpredictionai

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.

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