- š Hi, Iām @tnp38
- š Iām interested in learning new things
- š± Iām currently learning R and Python
tnp38 Goto Github PK
Type: User
Type: User
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.
R tutorial for visualizing airborne, in-situ CO2 from netCDF
This repo includes ChatGPT prompt curation to use ChatGPT better.
A collection of jupyter notebooks and scripts for drought assessment using the open data cube framework
:scroll: My Data Driven CV written with R, YAML, & LaTeX
Delta-X Applications Workshop
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Template for reproducible research paper in Rmd format
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Code for training and testing deep learning based land cover models.
Land Cover Mapping
Land Surface Temperature from Landsat on Google Earth Engine
š Sharing course notes on all topics related to machine learning, NLP, and AI.
Machine Learning for Earth Observation Training of Trainers Bootcamp
Practice your pandas skills!
Latex code for making neural networks diagrams
Textbook that provides JavaScript and Python code to create open reproducible remote sensing analyses and workflows in Google Earth Engine.
worked R examples
The RUSLE model on Google Earth Engine
Resources for deep learning with satellite & aerial imagery
Developed a Software for semantic segmentation of remote sensing imagery using Fully Convolutional Networks (FCNs). Initially, this software developed for extracting the road network from high-resolution remote sensing imagery. And now, this software can be used to extract various features (Semantic segmentation of remote sensing imagery). This project can also extract from Vector Data. This is part of my Internship at ISRO (Indian SPace Research Organization)'s NRSC (National Remote Sensing Centre) campus.
Config files for my GitHub profile.
A repository for testing ecological forecasting methods of satellite derived vegetation indices
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ššš
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ā¤ļø Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.