xueman-xm

xueman-xm's Stars

• sharpenb/Posterior-Network

  Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)

  Language:Jupyter Notebook7612

• juliusyang97/mathtype

  公式编辑器 -- mathtype破解版

  729

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python21.5k3.2k

• mulinmeng/Shuffle-Transformer

  Language:Python9816

• google-research/maxvit

  [ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...

  Language:Jupyter Notebook45431

• exacity/deeplearningbook-chinese

  Deep Learning Book Chinese Translation

  Language:TeX36k9.1k

• jadore801120/attention-is-all-you-need-pytorch

  A PyTorch implementation of the Transformer model in "Attention is All You Need".

  Language:Python9k2k

• chrysts/geodesic_continual_learning

  This is a public repository for:

  Language:Python384

• zhangxiann/TPAMI_Gait_Identification

  Repo for "Event-Stream Representation for Human Gaits Identification Using Deep Neural Networks"

  Language:Python7613

• AbnerHqC/GaitSet

  A flexible, effective and fast cross-view gait recognition network

  Language:Python585171

• bannedbook/fanqiang

  翻墙-科学上网

  Language:Kotlin39k7.3k

• yidaiqiushen/Deep-LIFT

  Language:Python11

• yidaiqiushen/SPL-MLL

  Code of SPL-MLL (Selecting Predictable Landmarks for Multi-Label Learning)

  Language:Python11

• WZMIAOMIAO/deep-learning-for-image-processing

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

  Language:Python23.9k8.1k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python33k4.8k

• d2l-ai/d2l-zh

  《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。

  Language:Python65.3k11.2k