Dual-Precision-Compression

This repository shows the core code of our method. In the future, we will further package and organize it into a convenient and easy-to-use version.

Datasets

We use the datasets from HYCOM GOFS3.1 Global Reanalysis. This dataset is publicly available for download to everyone.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Dataset		Dataset
saves		saves
torchac		torchac
.gitignore		.gitignore
README.en.md		README.en.md
README.md		README.md
analyze_train_info.py		analyze_train_info.py
module.py		module.py
test.py		test.py
test_Generalizability.py		test_Generalizability.py
test_HYCOM.py		test_HYCOM.py
test_HYCOM_lt.py		test_HYCOM_lt.py
test_cmd.py		test_cmd.py
test_datatime.py		test_datatime.py
test_index_compress.py		test_index_compress.py
test_quanti.py		test_quanti.py
tmp.py		tmp.py
train.py		train.py
train_HYCOM.py		train_HYCOM.py
train_HYCOM_hp.py		train_HYCOM_hp.py
train_HYCOM_hp_SAB.py		train_HYCOM_hp_SAB.py
train_HYCOM_hp_SEL.py		train_HYCOM_hp_SEL.py
train_HYCOM_hp_SEL_lt.py		train_HYCOM_hp_SEL_lt.py
train_HYCOM_hp_WTB_lt.py		train_HYCOM_hp_WTB_lt.py
train_HYCOM_hp_WTS.py		train_HYCOM_hp_WTS.py
train_HYCOM_lp_SAB.py		train_HYCOM_lp_SAB.py
train_HYCOM_lp_SEL.py		train_HYCOM_lp_SEL.py
train_HYCOM_lp_SEL_lt.py		train_HYCOM_lp_SEL_lt.py
train_HYCOM_lp_WTB.py		train_HYCOM_lp_WTB.py
train_HYCOM_lp_WTB_lt.py		train_HYCOM_lp_WTB_lt.py
train_HYCOM_lp_WTS.py		train_HYCOM_lp_WTS.py
train_cmd_lp.py		train_cmd_lp.py
train_cmp_hp.py		train_cmp_hp.py
utils.py		utils.py