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Implementation of ConvMixer for "Patches Are All You Need? 🤷"
Pytorch实现:使用ResNet18网络训练Cifar10数据集,测试集准确率达到95.46%(从0开始,不使用预训练模型)
Pytorch reimplementation of the Mixer (MLP-Mixer: An all-MLP Architecture for Vision)
Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
🔥 🔥 🔥 A paper list of some recent Computer Vision(CV) works
A comprehensive library for implementing LLMs, including a unified training pipeline and comprehensive model evaluation.
The official GitHub page for the survey paper "A Survey of Large Language Models".
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 python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~