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learning-resource's Introduction

Learning Resource of Artificial Intelligence

  • Model
    • Model Backbone
      • Reset Family(NFnet、Resxnet、Resnset...)
      • Repvgg
      • Gan
    • Enhance Model
      • Attention Layer
      • Spatial Pyramid Pooling (SPP Layer)
      • Feature fusion / Module fusion
  • Training Trick
    • Cross-validation
    • Ensemble Learning
    • Test Time Augmentation
    • Noise Label
    • Training in Noise Labels
    • Label smoothing
  • Pytorch
    • Seed setting
    • Modify pre-trained model
    • Fine-tune model
    • Improve speed of pytorch training
    • Distributed training
    • Learning scheduler
    • Activation
  • Computer Vision
    • Grad-CAM
  • Kaggle Trick
    • albumentations
  • Recommend Website
  • Exploratory Data Analysis(EDA)
  • Text to Value
  • One hot encoding
  • Normalization
    • Zero-mean normalization
    • Instance Normalization
  • Image Convert
    • Gray Level Co-occurrence Matrix(GLCM) 灰度共生矩陣
    • Image Decompose
  • Image Augmentation
    • Albumentations Library
    • Image Contrast Enhancement
    • Mixup/Cutout/CutMix Training Data
  • Dataset Format
    • VOC to COCO
    • COCO DataLoader
  • Data Vision
    • T-SNE
  • Model
    • XgBoost
    • SVM

Recommend Website

Data Science大全,從Git、SQL、Excel、Algorithms...都有

找不到資料或是lib都來這裡

很多競賽跟資料集,可以去看別人的notebook來學習,很多人會在上面寫教學

版主文章質量很高,我大部分資源都從這裡取得

找model、找Task,來這就對了,論文 + github code,最近還釋出3000+ Dataset,任務分類詳細,可以找到最新的模型架構跟基準

跟 paper with code 差不多,可以看到所有open source model 的 benchmarks,所以可以在上面找到目前主流的模型

這是一個知乎用戶,常常會發佈關於Computer vision的最新研究

你可以在任何github repositories的網址上,把github.com 改成 github1s.com,就可以用vscode editor查看

Little Trick

看論文可以找 《XX 論文筆記》

Tutorial Website

吐血推薦,B站最強學習資源彙總(數據科學,機器學習,python)

Deep Learning

Tensorflow

DeepFake

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