PENGUINLIONG

PENGUINLIONG

Geek Repo

Company:Taichi Graphics

Location:Tree

Home Page:https://liong.work

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taichi-dev

PENGUINLIONG's repositories

LigharX

Learning OptiX!

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bolt

Bolt is a deep learning library with high performance and heterogeneous flexibility.

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chisel3

Chisel 3: A Modern Hardware Design Language

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clpeak

A tool which profiles OpenCL devices to find their peak capacities

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clspv

Clspv is a prototype compiler for a subset of OpenCL C to Vulkan compute shaders

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fontdue

The fastest font renderer in the world, written in pure rust.

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glfw

A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input

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LuisaCompute

Multi-Backend Heterogeneous Computing Framework

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mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

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macos-virtualbox

Push-button installer of macOS Catalina, Mojave, and High Sierra guests in Virtualbox for Windows, Linux, and macOS

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MegEngine

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

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MNN

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

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ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

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oneDNN

oneAPI Deep Neural Network Library (oneDNN)

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onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

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Paddle-Lite

Multi-platform high performance deep learning inference engine (『飞桨』多平台高性能深度学习预测引擎)

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riscv-assembler

RISC-V Assembly code assembler package for Python.

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rust-gamedev.github.io

The repository for rust-gamedev.github.io

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spvgen

Library to Generate SPIR-V Binary

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Tengine

Tengine is a lite, high performance, modular inference engine for embedded device

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tensorflow

An Open Source Machine Learning Framework for Everyone

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TNN

TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN:由腾讯优图实验室和光影实验室协同打造,移动端高性能、轻量级推理框架,同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化,同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地,欢迎大家参与协同共建,促进TNN推理框架进一步完善。

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tvm-1

Open deep learning compiler stack for cpu, gpu and specialized accelerators

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wgpu

Native WebGPU implementation based on gfx-hal

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wgpu-android

wgpu Hello Triangle on Android

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wgpu-rs

Rust bindings to wgpu native library

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