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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

awesome-incremental-learning

Awesome Incremental Learning

bark

🔊 Text-Prompted Generative Audio Model

bigdataview

100+套大数据可视化炫酷大屏Html5模板；包含行业：社区、物业、政务、交通、金融银行等，全网最新、最多，最全、最酷、最炫大数据可视化模板。陆续更新中

books

编程电子书目录带下载地址

cbam

CBAM: Convolutional Block Attention Module for CIFAR10 on ResNet backbone with Pytorch

chatpaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

cil_survey

The code repository for "Deep Class-Incremental Learning: A Survey" in PyTorch.

class-incremental-learning

PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

context-transformer

Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

dcgan-with-se-residual-blocks

Deep convolutional generative adversarial network with SE-ResNet blocks implemented in pytorch

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

enrique.github.io

我的hexo博客

essentials_for_cil

Official repository of the paper 'Essentials for Class Incremental Learning'

expert_readed_books

2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，**类，数学类，人物传记书籍

facil

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

forgpt

ForGPT

gizwits-docs

gpt-tutorial

GPT相关使用教程

icarl

identification_of_rice

水稻病虫害自动识别系统

image-classification-with-vision-transformer

This repository contains the code and resources for performing image classification using Vision Transformer (ViT) models. Vision Transformers have gained popularity in computer vision tasks, demonstrating competitive performance compared to traditional convolutional neural networks.

image-recognition-of-agricultural-diseases

使用现代卷积神经网络架构（例如ResNet，DenseNet）对38类植物病害进行识别，并生成一个简单的UI操作界面

imagerestorationbasedgan-keras

在配对数据集前提下，可以进行图像去噪，修补，去水印，去马赛克，图像增强等操作。

incremental_detectors

Code release for paper "Incremental Learning of Object Detectors without Catastrophic Forgetting"

ip102

IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition

jh-notes