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100-days-of-ml-code

100-Days-Of-ML-Code中文版

100daysofmlcode

In this repository, I upload my 100 Days ML Code which I have learned from different courses(Coursera, udemy, edx, udacity), different websites blogs, different tutorials from YouTube, books, and research papers. And this code is basically Siraj Raval’s 100 Days of ML Code Challenge! Which I completed in 100 days from November 2018 to February 2019. On the basis of my past one and half years of experience, I have done different projects in 100 Days related to Machine Learning, Deep Learning, Computer Vision, Natural Language Processing.

18s191

Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:

2013_fall_astr599

Content for my Astronomy 599 Course: Intro to scientific computing in Python

2015_tan-et-al._nature

Codes in support of "Increases in tropical rainfall driven by changes in frequency of organized deep convection".

2017-lectures-godae-ocean-view

Lecture material for GODAE Ocean View summer school

2018-data-workshops

2018 OOI Data Workshops

2018-scipy-talk

Building your own Weather App using NOAA Open Data and Jupyter Notebooks

2019-06-10-amos

Website for Data Carpentry at AMOS 2019

2020_icesat-2_hackweek_tutorials

Combined repository for the final tutorial material presented at the 2020 ICESat-2 Cryosphere-themed Hackweek presented virtually by the University of Washington.

2020a_ssh_mapping_natl60

A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.

2021-cloud-hackathon

2021 NASA Cloud Hackathon co-hosted by PODAAC, NSIDC and LPDAAC, with support provided by ASDC, GESDISC, IMPACT and NASA Openscapes.

2021-seacen

Two sessions for SEACEN's November 2021 online course on "Data Analytics for Macroeconomic Surveillance"

2021_grl_lagrangian_carbon_pathways

A repository for analysis code used in my 2021 GRL publication

2021a_ssh_mapping_ose

A challenge on the mapping of real satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.

2022-02-08-icshmo

Python for Atmosphere and Ocean Science workshop at [email protected].

254-lectures-2021

2fast

Two-Factor Authenticator Supporting TOTP (Windows 10 & Android, iOS, Linux and macOS App)

30-seconds-of-code

Short JavaScript code snippets for all your development needs

3d-fluid-flow

3D Fluid Flow Estimation with Integrated Particle Reconstruction

3d-wind-field

Visualize wind field on Cesium

3d_differencing

3D differencing in OpenTopography - Author: Chelsea Scott [email protected]

4d-ptv

General toolbox for 4D Particle Tracking Velocimetry. Allows you to track in space and time hundreds or a few thousand of lagrangian tracers in a flow.

52things

52 Things You Should Know About Geocomputing

5beam-turbulence-methods

A set of codes to process turbulence data from a 5-beam Nortek Signature

996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

a-beginner-guide-to-carry-out-extreme-value-analysis-with-codes-in-python

A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential intervals, IDF/DDF, and a simple application of IDF information for roof drainage design. The guide mainly focuses on extreme rainfall analysis. However, the basic steps are also suitable for other climatic or hydrologic variables such as temperature, wind speed or runoff.

a-streampath-based-rcnn-approach-to-ocean-eddy-detection

a2020_cvmix_in_gotm

Jupyter notebooks for the CVMix in GOTM paper

aa

(Non)linear atmospheric response to Arctic Amplification forcing