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devops-guide icon devops-guide

DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.

fucking-algorithm icon fucking-algorithm

刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.

grokking-system-design icon grokking-system-design

Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems theory to product development.

made-with-ml icon made-with-ml

Learn how to responsibly deliver value with machine learning.

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

nlp-paper icon nlp-paper

自然语言处理领域下的相关论文(附阅读笔记),复现模型以及数据处理等(代码含TensorFlow和PyTorch两版本)

noml icon noml

A notebook for machine learning interview

parseq icon parseq

Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)

pumpkin-book icon pumpkin-book

《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

python_computation icon python_computation

This repository holds codes from the book Computational Nuclear Engineering and Radiological Science with Python

resize_dataset_pascalvoc icon resize_dataset_pascalvoc

Package to resize ALL your dataset images (into local folder) and change the pascal_VOC coodinates in your .xml file

swintextspotter icon swintextspotter

Pytorch re-implementation of Paper: SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition (CVPR 2022)

tuning_playbook icon tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

voc2coco icon voc2coco

Convert VOC format XMLs to COCO format json

yoloair icon yoloair

🔥🔥🔥YOLOAir:Including YOLOv5, YOLOv7, Transformer, YOLOX, YOLOR and other networks... Support to improve backbone, head, loss, IoU, NMS...The original version was created based on YOLOv5

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