Minglei Yuan's starred repositories

PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

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google-research

Google Research

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PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

gdown

Google Drive Public File Downloader when Curl/Wget Fails

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pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

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flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

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PVT

Official implementation of PVT series

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FSL-Mate

FSL-Mate: A collection of resources for few-shot learning (FSL).

CascadeTabNet

This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"

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openTSNE

Extensible, parallel implementations of t-SNE

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LibFewShot

LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.

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DAVAR-Lab-OCR

OCR toolbox from Davar-Lab

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mmfewshot

OpenMMLab FewShot Learning Toolbox and Benchmark

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topicsne

t-SNE experiments in pytorch

Few_Shot_Distribution_Calibration

[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration

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pan_pp.pytorch

Official implementations of PSENet, PAN and PAN++.

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cnaps

Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"

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pytorch-tensorboardx-visualization

The use examples of tensorboard on pytorch

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keita

My personal toolkit for PyTorch development.

TIM

(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297

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simple-cnaps

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (SSRN Electronic Journal)

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Meta-Fine-Tuning

[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.

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automahalanobis

A PyTorch implementation of an autoencoder trained to minimize the Mahalanobis distance between input and reconstruction.

MASR

Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation -- SIGIR 2019.

mahalanobis-distance

mahalanobis distance from scratch

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cvprw2020-cross-domain-few-shot-learning-challenge

The source code of LMM-PQS for cross-domain few-shot learning challenge in CVPR workshop 2020

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