niceynine

niceynine's Stars

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，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chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python66k2781.6k8.1k

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python38.4k2.1k557.3k

• kaixindelele/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

  Language:Python18.5k942181.9k

• microsoft/torchgeo

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

  Language:Python2.8k51445351

• ZhugeKongan/torch-template-for-deep-learning

  Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.

  Language:Python1.1k92190

• duma-repo/ai_code_reader

  AI项目阅读器 by渡码

  Language:Python663915131

• kemomi/daimai

  大麦网演唱会抢票脚本

  Language:Python588324125

• 1044197988/Python-Image-feature-extraction

  Python实现提取图像的纹理、颜色特征，包含快速灰度共现矩阵（GLCM）、LBP特征、颜色矩、颜色直方图。

  Language:Python3954293

• orfeotoolbox/OTB

  Github mirror of https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb

  Language:GLSL357410115

• LuckyZXL2016/Deep-Learning-Papers-Reading-Roadmap

  深度学习论文阅读路线图

  28811090

• jgomezdans/prosail

  Python bindings for the PROSAIL canopy reflectance model

  Language:Python130131666

• EduinHSERNA/pyGEDI

  pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization.

  Language:Jupyter Notebook926542

• leftfield-geospatial/geedim

  Search, composite, and download Google Earth Engine imagery.

  Language:Python8252011

• ExpressGit/Pytorch_Study_Demo

  Pytorch_Study_Demo

  Language:Jupyter Notebook785013

• royalosyin/Work-with-DEM-data-using-Python-from-Simple-to-Complicated

  Work with DEM data using Python from Simple to Complicated. Many python packages will be touched such as GDAL, numpy, xarray, rasterio, folium, cartopy, geopandas etc.

  Language:Jupyter Notebook514028

• maziarraissi/ParametricGP

  Parametric Gaussian Process Regression for Big Data

  Language:Python4410121

• remotesensinginfo/rsgislib-tutorials

  A set of notebook tutorials for RSGISLib.

  Language:Jupyter Notebook42635

• akamoske/canopyLazR

  R package to estimate leaf area density (LAD) and leaf area index (LAI) from airborne LiDAR point clouds

  Language:R347114

• quqixun/BioMassters

  An algorithm that predicts yearly Aboveground Biomass for Finnish forests using satellite imagery. [NeurIPS 2023 Datasets & Benchmarks Track]

  Language:Python26314

• linesd/SSGPR

  Sparse Spectrum Gaussian Process Regression

  Language:Python21306

• jbferet/prosail

  R package dedicated to the PROSAIL canopy reflectance model. The package allows running PROSAIL in direct and inverse modes, with various inversion strategies. A tutorial can be found on the gitlab website

  Language:R20325

• msalinero/GEEGPRPhenoDemos

  Google Earth Engine demo codes from the article "Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression"

  17218

• fabianfassnacht/biomass

  R-Codes for RSE manuscript "Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass"

  Language:R9306

• Mahyarona/VSSIXA

  Vegetation Spectral-Structural Information eXtraction Algorithm (VSSIXA): Working with Point cloud and LiDAR

  Language:Python9302

• jianboqi/LAI3D

  Inversion of 3D LAI from airborne or UAV LiDAR point cloud and reconstruct 3D scenes for radiative transfer simulations.

  Language:Python8222

• ADA-research/AutoML4HybridEarthScienceModels

  Language:Jupyter Notebook7302

• earth-chris/xleaf

  Leaf and canopy radiative transfer modeling tools built on PROSPECT-D and SAIL

  Language:Fortran7220

• Hauzero/SensitivityAnalysisPROSAIL

  Sensitivity Analysis PROSAIL

  Language:Python6113

• shielamms/remote-sensing-book

  A Jupyter Book about basic techniques in remote sensing using Google Earth Engine and Python

  Language:Jupyter Notebook51

• euanmitchell/dissertation

  MSc dissertation code repository for working with GEDI and ALS lidar data.

  Language:Python3102