Arnold Taremwa's repositories
kickstart.nvim
A launch point for your personal nvim configuration
dotfiles
My config files
the-algorithm
Source code for Twitter's Recommendation Algorithm
docs
File transfer app
music_manager
*WIP* App to read and move my playlists between Spotify and Tidal, for now.
bucky_phoenix
Obligatory todo list in elixir/phoenix
Hours
Time registration that doesn't suck
cs231n
My work done on assignments for the Stanford course; CS231n: Convolutional Neural Networks for Visual Recognition.
AaDS
My solutions to programming exercises on the EDX offering of the Algorithms and Data Structures MicroMasters
mastering_ruby_closures
My work on the book Mastering Ruby Closures
minimal-react-boilerplate
Minimalist setup for React with Webpack and Babel
hackernews
React app that queries hacker news stories
neural-network-stuff
Random code on neural networks
neural-networks-and-deep-learning-coursera
This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. This is the first course of the Deep Learning Specialization.
machine-learning-fundamentals-uc-sandiego
UC San Diego machine learning MOOC offering
intro-to-deep-learning
Deep learning MOOC offering by National Research University Higher School of Economics
credit-card
Modelling workflow of credit card misuse prediction
ames-housing-prices
Kaggle competition on house price prediction
elasticsearch-definitive-guide
The Definitive Guide to Elasticsearch
pytorch-examples
Simple examples to introduce PyTorch
intro-to-dl
Resources for "Introduction to Deep Learning" course.
DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
WikiEduDashboard
Wiki Education Foundation's Wikipedia course dashboard system
pyprobml
Python code for "Machine learning: a probabilistic perspective"
competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course