Ian Quah

A self-paced course to learn Rust, one exercise at a time.

Personal Dotfiles

Trying to learn more computational neuroscience by implementing compartment models

Teaching Jax from a working-example standpoint

Neuronal morphology preparation and classification using Machine Learning.

A base research template that uses uv

Various visualizations that I should probably keep somewhere

Set of preconfigured snippets for different languages.

Work with me as I go through some code!

LangChain abstractions backed by Postgres Backend

Simple scripts to automate a bit of the homework grading process for instructors and TA's.

Faster graph traversal algorithms for python by leveraging Rust

All the solutions are literally on the website anyways

Everything in 15 days

Automated Kraken Trader

Emulate Helix keybindings inside Vim emulators

No description provided.

A numpy-like wrapper around PALISADE library for the intersection of Homomorphic Encryption and Machine Learning

Stay up to date with your friends

No description provided.

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Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

A launch point for your personal nvim configuration

Python baseclass for training recurrent neural networks in Tensorflow

FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks

Code associated with Blog Posts

Hypermodern Python Cookiecutter

Exercises for "Neuroscience for machine learners" course

HW Template

No description provided.