skyflyi's Stars
SwinTransformer/Swin-Transformer-Semantic-Segmentation
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
microsoft/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Vanint/Awesome-LongTailed-Learning
A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).
Atten4Vis/CAE
This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
facebookresearch/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
hszhao/PSPNet
Pyramid Scene Parsing Network, CVPR2017.
microsoft/SimMIM
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
sthalles/PyTorch-BYOL
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
mindspore-lab/mindcv
A toolbox of vision models and algorithms based on MindSpore
cgohlke/geospatial-wheels
Geospatial library wheels for Python on Windows
bubbliiiing/deeplabv3-plus-pytorch
这是一个deeplabv3-plus-pytorch的源码,可以用于训练自己的模型。
bryandlee/animegan2-pytorch
PyTorch implementation of AnimeGANv2
Javacr/PyQt5-YOLOv5
PyQt5 implementation of YOLOv5 GUI
supery-chen/game-maze
Liiiiiiiiiq/CS231N-Spring-2021
assignment1-3
Observerspy/CS231n
homework for CS231n 2017
Halfish/cs231n
斯坦福 cs231n 作业代码实践
limoest/daily_reminder
微信公众号全自动每日推送(先看README.md里的内容)
akshaymnair/Autoencoders
Stacked sparse auto encoders developed without using any libraries, Denoising auto encoder developed using 2 layer neural network without any libraries, using Python.
CLaraRR/autoencoder_practice
AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
ShayanPersonal/stacked-autoencoder-pytorch
Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
ma-nual/matconvnet-transfer-learning
使用matlab和迁移学习对SAR图像分类
johntruckenbrodt/pyroSAR
framework for large-scale SAR satellite data processing
nicodjimenez/lstm
Minimal, clean example of lstm neural network training in python, for learning purposes.
FraLotito/pytorch-continuous-bag-of-words
The Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It's a model that tries to predict words given the context of a few words before and a few words after the target word.
bubbliiiing/yolo3-pytorch
这是一个yolo3-pytorch的源码,可以用于训练自己的模型。
zt1112/pytorch_inceptionv3
PaddlePaddle/awesome-DeepLearning
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI