rsmahabir Goto Github PK
Name: Islander
Type: User
Bio: Bits and pieces of geographical data science
Name: Islander
Type: User
Bio: Bits and pieces of geographical data science
Course materials for the 2018 version of the Automating GIS processes -course at the University of Helsinki, Finland
Master MVA, ENS Cachan, France: 3D Point Cloud Processing. Implementation of the research article "Segmentation Based Classification of 3D Urban Point Clouds". Very large data processing techniques using kdtree (scikit-learn API), feature computations on 3D points cloud. (Python, Scikit-Learrn))
A set of spiders and scrapers to extract location information from places that post their location on the internet.
This repository contains a series of experiments performed on the Amazon Reviews dataset. This includes data visualization techniques like PCA and T-SNE. It also includes curating, de-duping and cleaning the dataset to perform a series of NLP related tasks. You will learn about a series of models which includes KNN, Naive Bayes, Logistic Regression, SVMs, Decision Trees, GBDTs, XGBoosts, Random Forests etc. You weill also learn about applying clustering techniques like KMeans, Agglomerative clustering and DBSCAN. You will further learn about Matrix Factorization usng Truncated SVD followed by KMeans clustering.
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Natural language toolkit, scikit-learn and web scraping for topic modeling analysis of DCP's Greenpoint-Williamsburg Rezoning
Repo for Applied Text Mining in Python (coursera) by University of Michigan
Resources for ACT study group
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
A Deep Learning based project for creating line art portraits.
A curated list of community detection research papers with implementations.
🦠Useful projects and resources for COVID-19 (2019 novel Coronavirus)
curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
A curated list of Google Earth Engine resources
:scream: A curated list of amazingly awesome OSINT
A topic-centric list of HQ open datasets.
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
A list of Twitter datasets and related resources.
Around 1 in 4 people will experience a mental health problem this year. Low-income countries have an estimated treatment gap of 85% (as compared with high-income countries with a gap of 35% to 50%). While Kenya has a mental illness prevalence rate that is comparable to that of high-income countries, there are still less than 500 healthcare professionals serving the country. In Kenya, there are growing concerns about mental health among young people, particularly university students that face a challenging and unique conflation of stressors that put them at risk of challenges like depression and substance abuse. From the use of app-based solutions for screening to electronically delivered therapies, the use of technologies including machine learning and AI will potentially transform the delivery of mental health services in the coming years. The objective of this challenge is to develop a machine learning model that classifies statements and questions expressed by university students in Kenya when speaking about the mental health challenges they struggle with. The four categories are depression, suicide, alchoholism, and drug abuse. This solution will be used for a prototype of a mental health chatbot designed specifically for university students. This initiative is a first step in leveraging technology to make mental health services more accessible and more user-friendly for young people in Kenya and around the world
Download wildfires data from CalFire
workshop on spatial data science with PySAL @ CARTO SDSC23
Chemical Process Control
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
Workshop for NLP introduction with Spanish jokes
Tools for downloading from the LexisNexis API
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.