zhonghua-zheng

zhonghua-zheng's Stars

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML69.3k1k13214.3k

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX58.8k8664549.3k

• PKUFlyingPig/cs-self-learning

  计算机自学指南

  Language:HTML56.2k3171816.8k

• google/latexify_py

  A library to generate LaTeX expression from Python code.

  Language:Python7.2k5682380

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.2k144444725

• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Language:Python4.9k79186536

• rguo12/awesome-causality-algorithms

  An index of algorithms for learning causality with data

  2.9k1089442

• JunweiLiang/awesome_lists

  Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

  Language:Python1.4k33179

• dynamicslab/pysindy

  A package for the sparse identification of nonlinear dynamical systems from data

  Language:Python1.4k33359308

• samapriya/awesome-gee-community-datasets

  Community Datasets added by users and made available for use at large

  Language:Python75930263120

• baifanxxx/awesome-active-learning

  A curated list of awesome Active Learning

  71115568

• trevor-vincent/awesome-high-performance-computing

  A curated list of awesome high performance computing resources

  58421660

• liaoyuhua/LLM4TS

  Large Language & Foundation Models for Time Series.

  41714235

• ESCOMP/CTSM

  Community Terrestrial Systems Model (includes the Community Land Model of CESM)

  Language:Fortran305341.9k307

• opengeos/aws-open-data-geo

  A list of open geospatial datasets on AWS

  Language:Python2781117

• Unidata/awips2

  Weather forecasting display and analysis package developed by NWS/Raytheon, released as open source software by Unidata.

  Language:Java1743732067

• eabarnes1010/ml_tutorial_csu

  material for the CSU-led machine learning tutorial for earth science research

  Language:Jupyter Notebook882019

• djgagne/hagelslag

  Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability diagrams.

  Language:Jupyter Notebook6816627

• eabarnes1010/course_ml_ats

  machine learning for the atmospheric sciences - a CSU course

  Language:Jupyter Notebook30105

• NCAR/CUPiD

  CUPiD is a “one stop shop” that enables and integrates timeseries file generation, data standardization, diagnostics, and metrics from all CESM components.

  Language:Python23167222

• NCAR/dask-tutorial

  NCAR/CISL Dask tutorial (Spring 2023)

  Language:Jupyter Notebook23669

• ai2es/miles-guess

  Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.

  Language:Jupyter Notebook20523

• NCAR/echo-opt

  Earth Computer Hyperparameter Optimization

  Language:Python19906

• tbeucler/2022_ML_EES

  Course repository for "Machine Learning for Earth and Environmental Sciences" (UNIL, FGSE, Fall 2022)

  Language:Jupyter Notebook132036

• cedadev/jasmin-community

  Discussion forum for JASMIN user community

  91100

• loftytopping/DEES_programming_course

  The course material for the programming course in DEES, University of Manchester

  Language:Jupyter Notebook94010

• aerosol-modelling/Book-Code

  Code of exercises and content of the associated printed book

  Language:Fortran8603

• atmsillinois/uiuc-atmos-computing

  Repository for documentation for computing within the Department of Climate, Meteorology & Atmospheric Sciences at the University of Illinois

  5346

• reetahan/dsi_india_miss_data

  Language:Jupyter Notebook10

• TC25/GEE_lecture

  1100