liuguangjin98's Projects
油猴脚本 - 一个免费开源的网盘下载助手
Official Pytorch Implementation of "Remote Sensing Image Change Detection with Transformers"
Deep learning models for change detection of remote sensing images
A CNN-transformer Network with Multi-scale Context Aggregation for Fine-grained Cropland Change Detection
PyTorch package for the discrete VAE used for DALL·E.
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
翻墙-科学上网
This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Official Pytorch Implementation of Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images.
Config files for my GitHub profile.
Code for some onnxruntime projects
An official implementation of Pangu-Weather
Python Script for automation in Agisoft PhotoScan
PRCV2021变化检测竞赛第三名解决方案
PyTorch implementations of Generative Adversarial Networks.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Regression Transformer (2023; Nature Machine Intelligence)
Matplotlib styles for scientific plotting
Providing automated, real time estimates of snow water equivalent in the Sierras and beyond
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Xray, Penetrates Everything. Also the best v2ray-core, with XTLS support. Fully compatible configuration.