JaredYeah (JaredYeDH)

JaredYeDH

Geek Repo

Location:China

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JaredYeah's repositories

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MonocularTotalCapture

Code for CVPR19 paper "Monocular Total Capture: Posing Face, Body and Hands in the Wild"

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CycloneVSoC-examples

Examples using the Cyclone V SoC chip

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3d-game-shaders-for-beginners

🎮 A step-by-step guide on how to implement SSAO, depth of field, lighting, normal mapping, and more for your 3D game.

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Python-1

All Algorithms implemented in Python

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tvm

TVM integration into PyTorch

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tungsten

High performance physically based renderer in C++11

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NSGameDownloader

从百度云查找游戏

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candle

C Game Engine

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Text_Detector

Text detection model that combines Retinanet with textboxes++ for OCR

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Radium-Engine

Research 3D Engine for rendering, animation and processing

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ALightGPU

GPU-Accelerated Ray-Tracing Renderer Using CUDA

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zircon

Zircon Kernel, Core Drivers, and Services

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ESRGAN

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)

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Inline-Engine

Game engine written in C++ with ease of use and next-gen parallel computing in focus.

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capo

C++标准库的轻量级拓展.

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responder

a familiar HTTP Service Framework for Python

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CARN-pytorch

Official implementation of Efficient Cascading Residual Network for SR

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RCAN

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

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Remarkable

Remarkable - The Markdown Editor for Linux http://remarkableapp.github.io

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cpp-rgb2yuv

一个轻量级的转换工具, 用于把RGB像素块转换为YUV.

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GPUImage-x

A Cross-platform (for both Android & iOS) Framework for GPU-based Filters, Video and Image Processing.

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android-gpuimage-plus

Android Image & Camera Filters Based on OpenGL.

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engine

Go 3D Game Engine

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BasicSR

Basic codes for Super-Resolution

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CVPR18-SFTGAN

Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform (CVPR 2018) http://mmlab.ie.cuhk.edu.hk/projects/SFTGAN/

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SimpleEngine

intend to build a relative complete game using c++11 and opengl

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SRGAN_Wasserstein

Apply Waseerstein GAN into SRGAN, a deep learning super resolution model

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mini-caffe

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

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