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harper-li's Projects

linux-tutorial icon linux-tutorial

:penguin: Linux教程,主要内容:Linux 命令、Linux 系统运维、软件运维、精选常用Shell脚本

medical-transformer icon medical-transformer

Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

mindspore icon mindspore

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

ml-gcn icon ml-gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

multilogue-net icon multilogue-net

Official PyTorch implementation of Multilogue-Net (Best paper runner-up at Challenge-HML @ ACL 2020)

multimodal-deep-learning icon multimodal-deep-learning

This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.

nlp-tutorial icon nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nuwa icon nuwa

A unified 3D Transformer Pipeline for visual synthesis

ocr_tdr icon ocr_tdr

好未来Feature Camp:中文手写汉字识别

opensmile icon opensmile

The Munich Open-Source Large-Scale Multimedia Feature Extractor

pban-pytorch icon pban-pytorch

A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis, PyTorch implementation.

pytorch-gat icon pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

pytorchocr icon pytorchocr

基于Pytorch的OCR工具库,支持常用的文字检测和识别算法

rspapers icon rspapers

A Curated List of Must-read Papers on Recommender System.

simcse icon simcse

SimCSE在中文任务上的简单实验

simmim icon simmim

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

small-spring icon small-spring

🌱《 Spring 手撸专栏》,本专栏以 Spring 源码学习为目的,通过手写简化版 Spring 框架,了解 Spring 核心原理。在手写的过程中会简化 Spring 源码,摘取整体框架中的核心逻辑,简化代码实现过程,保留核心功能,例如:IOC、AOP、Bean生命周期、上下文、作用域、资源处理等内容实现。

sofa-jraft icon sofa-jraft

A production-grade java implementation of RAFT consensus algorithm.

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