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RoyZhang1's starred repositories

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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FBX2glTF

A command-line tool for the conversion of 3D model assets on the FBX file format to the glTF file format.

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CPBypass2

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onnxmltools

ONNXMLTools enables conversion of models to ONNX

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scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

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ppl.nn

A primitive library for neural network

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ppl.cv

ppl.cv is a high-performance image processing library of openPPL supporting various platforms.

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gl

Go cross-platform OpenGL bindings.

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MiniGame

使用C++ OpenGL实现跨平台游戏开发的渲染引擎

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Shaders

A collection of a various type of shaders in GLSL which I keep on extending when I find time to explore some new type of effect.

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blog-code

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ZLToolKit

一个基于C++11的轻量级网络框架，基于线程池技术可以实现大并发网络IO

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shm_container

A collection of shared memory containers for high performance server

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cpp-subprocess

Subprocessing with modern C++

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pybind11

Seamless operability between C++11 and Python

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python-mmap

python 调用 c 共享内存池

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VisionTools

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ngx_shm_dict

nginx 共享内存

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UI2I_via_StyleGAN2

Unsupervised image-to-image translation method via pre-trained StyleGAN2 network

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first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

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brdf

Code sample accompanying the article "Crash Course in BRDF Implementation"

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MetalShaderTools

Tools and samples for understanding Apple's Metal shading language and its LLVM Bitcode shader files

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imgui

Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

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CppCoreGuidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

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pytorch-pretrained-BigGAN

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

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Self-Attention-GAN

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

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Keras-GAN

Keras implementations of Generative Adversarial Networks.

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progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

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CoGAN

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adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

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