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深度学习与PyTorch入门实战视频教程 配套源代码和PPT
李宏毅2021机器学习深度学习笔记PPT作业
A paper list of some recent Transformer-based CV works.
Recent LLM-based CV and related works. Welcome to comment/contribute!
Recent Transformer-based CV and related works.
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP
Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.
deep learning for image processing including classification and object-detection etc.
(WIP) TorchUtils is a pytorch library with several useful tools and training tricks.
⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归