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aitlas

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

aitlas-arena

An open-source benchmark framework for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO)

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

caj2pdf-qt

CAJ 转 PDF 转换器（GUI 版本）

changeformer

chatpaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

dash

Tensorflow implementation for Dash

dpa

fixmatch

A simple method to perform semi-supervised learning with limited data.

fixmatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

genshin_impact_assistant

原神小助手 Genshin Assistant (CN/EN) | 自动战斗,秘境,领日常,半自动委托

gf_preprocess

gitlearning

学习Git的操作

gpt_academic

为ChatGPT/GLM提供图形交互界面，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm2等本地模型。兼容复旦MOSS, llama, rwkv, newbing, claude, claude2等

hrnet-semantic-segmentation

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

ircnn

IRCNN：An Irregular-Time-Distanced Recurrent Convolutional Neural Network for Change Detection in Satellite Time Series

leyou

乐优商城项目后台

loveda

[NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

machinelearning_python

机器学习算法python实现

pytorch_learning

Pytorch相关函数、框架学习

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

segnext

SegNext Implementation in PyTorch

segnext_mmseg

Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)

siam_unetplus

st-unet

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

swin-transformer-semantic-segmentation

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data