Giter Club home page Giter Club logo

Hi there!

Typing SVG

GIF

I am a Water Resources Engineer and a Researcher in Multi-hazards and Compound Climate & Weather Extremes. Iā€™m currently pursuing a Ph.D. in Civil Engineering (Major: Water Resources Engineering) in the Coastal Risks and Engineering (CoRE) Research Lab at the National Center for Integrated Coastal Research, University of Central Florida (UCF). My work involves multi-hazards risk assessment and analyzing compound climate/weather extreme events and their spatial and temporal interactions and socio-economic impacts using machine learning and statistical methods.

šŸ“« How to reach me:

LinkedIn@javedali Twitter@javedali LinkedIn@javedali BlueSky@javedali mastodon@javedali javedali28@gmail.com


classic-flower-medow

Javed Ali's Projects

agr_cli icon agr_cli

Agricultural impacts as consequence of climate anomalies, climate change and natural variability. Use case for soybeans

ams-ml-python-course icon ams-ml-python-course

Machine Learning in Python for Environmental Science Problems AMS Short Course Material

audio-to-text-transcription icon audio-to-text-transcription

This repository contains a Python script that allows users to download the audio from a YouTube video, transcribe it into text, detect the language and save the transcription in txt file automatically.

awesome-quarto icon awesome-quarto

A curated list of Quarto talks, tools, examples & articles! Contributions welcome!

basics icon basics

šŸ“š Learn ML with clean code, simplified math and illustrative visuals.

cdaptools icon cdaptools

Tools for downloading and processing climatic data for analyzing multi-hazards risk and compound weather and climate extreme events.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dea-notebooks icon dea-notebooks

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray

deeplearning.ai-summary icon deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deepsky icon deepsky

Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms

geebook icon geebook

Geospatial Data Science with Earth Engine and Geemap

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    šŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. šŸ“ŠšŸ“ˆšŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ā¤ļø Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.