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accelerated-cpp-book-exerc

Going through "Accelerated C++" by Koenig-Moo. Some notes are in here.

agda-notes

Notes on Agda for personal use.

anglican-notes

Personal notes on Anglican and probabilistic programming.

asyncio-note

A personal note on Python asyncio capabilities. Will probably evolve over time as I need to learn more.

autoencoders-mnist

Some implementations of deep autoencoders on the MNIST dataset.

calwoo.github.io

Personal blog built with Hakyll.

categorical-notes

Notes on categorical notions in functional programming, via Haskell.

cis194

A while back I tried to learn some Haskell after attending a homotopy theory seminar on the topic. So I went and saw UPenn's CIS 194 course and ended up trying to go through all the exercises and lectures.

cis552

Exercises and notes from UPenn's CIS552 on Haskell.

cloud-vae

A variational autoencoder model for generating 3D point clouds.

delimited

An implementation of delimited continuations, with examples.

essentials-of-compilation-python

Support for for students (Python)

etalang

game-theory

Learning a bit of game theory.

gan-vanilla-mnist

Just another GAN implementation, with tensorflow. Just for learning purposes.

gauss

Just some notes on gaussian processes.

genetic-tsp

A genetic algorithm to solve toy traveling salesman problems. This is a learning note.

golearn

Notes on me trying to learn Golang.

graph-notes

Notes on graph algorithms.

haskell-book

Working through the Haskell book of Allen-Moronuki.

haskell-exercism

Haskell exercises from exercism.io. Just some practice.

haskell-notes

A repository of my personal notes on topics in Haskell.

huet-zippers

Just a note to myself about Huet's functional zippers.

hyperbolic

Experiments in hyperbolic geometry and graph embeddings.

kohonen-som

A test implementation of a Kohonen self-organizing map. For personal learning purposes.

kserve

Standardized Serverless ML Inference Platform on Kubernetes

learning-cuda

Notes and worked-through tutorials from learning CUDA programming.

linear-regression

Linear regression from scratch. In various ways.

mars

EC2 clusters for distributed deep learning launched by Terraform.

mlcompiler-notes

Notes on ML compilation.