Lu Qi (MarioLulab)

MarioLulab

Geek Repo

Company:ZheJiang University

Location:Hangzhou, China

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Lu Qi's repositories

Needle

A basic deep learning library, comparable to a very minimal version of PyTorch.

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GLCC2023-Paddle-Record

A record for developing GLCC Project with the topic of "Implement @to_static function for PyLayer in Paddle"

AlphaPose

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

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Camp

飞桨护航计划集训营

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CampTest

CampTest

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CUDALibrarySamples

CUDA Library Samples

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docs

Documentations for PaddlePaddle

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oneflow

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

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Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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community

PaddlePaddle Developer Community

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CUDATutorial

A self-learning tutorail for CUDA High Performance Programing.

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flash-attention

Fast and memory-efficient exact attention

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learning-cuda-trt

A large number of cuda/tensorrt cases . 大量案例来学习cuda/tensorrt

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MarioLulab

It's just me, myself and I

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mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

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mmdeploy

OpenMMLab Model Deployment Framework

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mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

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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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openmlsys-zh

《Machine Learning Systems: Design and Implementation》- Chinese Version

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PaddleAutoProject

基于PaddlePaddle的自动化功能开发小组

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PaddleNLP

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

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stanford-CS229

Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng

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thrust

The C++ parallel algorithms library.

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