Ali Rana's repositories
ranaalisaeed.github.io
My site using Jekyll, GitHub Pages, Netlify
vizintel_com_au
Website and blog for Vizintel
gcal-training-plan
Create training plans and load them in your Google Calendar to follow
ayeshaattire-store
Ayesha Attire store
gatsby-mdx-netlify-cms-starter
Gatsby-MDX with Netlify CMS. Support React components in your CMS editor!
sandbox-staticman
Testing sandbox staticman on github pages
staticman
đź’Ş User-generated content for Git-powered websites
sandbox
Just a sandbox for testing purposes
d3-webpack-babel-typescript
Boilerplate code to build D3 on top of webpack, devServer w local csv, babel and finally typescript
britecharts
Client-side reusable Charting Library based on D3.js v5 that allows easy and intuitive use of charts and components that can be composed together creating amazing visualizations.
viz
Vizuly open source components
core
Core source code for base vizuly classes
scratchaway
scratch play area with my kid
project-management-dashboard
Project management dashboard (in MS Excel) that delivers high impact information on a single page
random5-melbdatathon2017
random5 group created randomly in Melbourne Datathon 2017
data-science-toolkit-for-IT-consultants
A personally tried-and-test curated list of software tools that worked best in merging data analytics skills with IT consulting career
awesome-computer-vision
Experimentation with awesome stuff available in OpenCV (computer vision library for Python)
machine-learning-framework
Machine learning codes are usually laden with far too many complexities (hyperparameters, preprocessing and right things coded in wrong places ...). I am on a mission to untangle ML code by logically separating work flow and creating a re-usable framework that you can easily apply to your machine learning tasks involving any type of data.
cloudml-samples
Samples for the Google Cloud Machine Learning API
Spoon-Knife
This repo is for demonstration purposes only.
tensorflow
Computation using data flow graphs for scalable machine learning
Octave-ML-Course-Stanford
My solutions for Machine Learning course by Andrew Ng on Coursera
so-simple-theme
:art: A simple and clean responsive Jekyll theme for words and photos.