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This repository mainly lists some the latest research on graph neural network theory.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
A curated list of all kinds of learning resources, blogs, books, videos and so on.
Easy-Grokking-Deep-Learning，意为轻松摸索深度学习，英文缩写可简称为EGDL。
this repository accompanies the book "Grokking Deep Learning"
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
Code examples in pyTorch and Tensorflow for CS230
🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.
Streaming Graph Neural Networks via Continual Learning (CIKM 2020)
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
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.
A toy example of VAE-regression network
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
A curated, but incomplete, list of data-centric AI resources.
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
Book_2_《可视之美》 | 鸢尾花书：从加减乘除到机器学习，欢迎批评指正
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
Book_1_《编程不难》 | 鸢尾花书：从加减乘除到机器学习；请多多批评指正！