Sophie's Projects
Hung-Yi Lee ML 2017 Spring Homework
吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course
Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"
Code for BERT classifier finetuning for multiclass text classification
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
Corn Soy Data Layer
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices
Notes about courses Dive into Deep Learning by Mu Li
a deep model that segments water on multispectral images
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
IceCube DNN reconstruction
earth_obr_repo
Python and JavaScript bindings for calling the Earth Engine API.
Official Implementation of 'Fast AutoAugment' in PyTorch.
Library for fast text representation and classification.
Satellite imagery for dummies.
Fractional Gabor Convolutional Network for Multi-source Remote Sensing Data Classification
Google Cloud tutorial and setup
This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for learning purposes. These documents has been converted to web pages and are made easy access to the normal users via web page.
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
A Python package for interactive mapping
A report for GEOG-510
GeoRasters is a Python module that provides a fast and flexible tool to work with GIS raster files.