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972461099's Projects

basnet icon basnet

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

dain-ncnn-vulkan icon dain-ncnn-vulkan

DAIN, Depth-Aware Video Frame Interpolation implemented with ncnn library

face3d icon face3d

Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

kair icon kair

Image Restoration Toolbox (PyTorch). Training and testing codes for DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN

pixel-anchor.pytorch icon pixel-anchor.pytorch

复现论文《Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks》

qasystemonmedicalkg icon qasystemonmedicalkg

disease centered Medical knowledge graph and qa system。知识图谱构建,自动问答,基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱,并以该知识图谱完成自动问答与分析服务。

ss-fly icon ss-fly

一键脚本搭建ss/ssr并开启bbr内核加速(Ubuntu/CentOS/Debian)

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.

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

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