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liao007's Projects

acccmip6 icon acccmip6

Python package for accessing and downloading CMIP6 database

annotated_deep_learning_paper_implementations icon 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-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-python-cn icon awesome-python-cn

Python资源大全中文版,包括:Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等,由「开源前哨」和「Python开发者」微信公号团队维护更新。

cartoee icon cartoee

Publication quality maps using Earth Engine and Cartopy

cnmaps icon cnmaps

这是一个可以让**地图画起来更丝滑的python扩展包

dapper icon dapper

Data Assimilation with Python: a Package for Experimental Research

daspy icon daspy

Python Multivariate Land Data Assimilation System with High Performance Computing for CLM 4.5

datasciencestudynotes icon datasciencestudynotes

这个仓库保管从(数据科学学习手札69)开始的所有代码、数据等相关附件内容

deap icon deap

Distributed Evolutionary Algorithms in Python

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

earthengine-py-notebooks icon earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

enkf-c icon enkf-c

EnKF code for DA with large-scale layered geophysical models.

eoldas icon eoldas

An Earth Observation Land Data Assimilation System (EO-LDAS)

filterpy icon filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

globalhydro icon globalhydro

Global high-resolution hydrologic modeling with 2.94 million river reaches (~90 m DEM)

gsl icon gsl

GNU Scientific Library with CMake build support and AMPL bindings

gsl-win64 icon gsl-win64

Standalone Installer for the GNU Scientific Library

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

model_evaluation icon model_evaluation

Python code for evaluating geophysical models using conventional and triple collocation methods

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