Julian Cooper's Projects
Advent calendar of small programming puzzles for a variety of skill sets and skill levels that can be solved in any programming language
Configs and scripts for various software installations needed to setup os distributions
Cookiecutter model for forecasting using pipelines with tasks and schema for minimal data loader
Sequential formal proof solver using the coq assistant framework and a graph neural network for premise and technique embeddings.
Extending Stanford's DeepSolar model to handle distribuition shifts (eg. satellite datasets from other countries)
Repository with example colabs and code for managing large data pipelines
Repository for computer and network security exploits and defences
Repo for learning the go programming langauge (ref: "Tour of Go" https://go.dev/tour/welcome/1)
projects and general recreation
For a given battery, predict discharge capacity curve until 80% nominal from data collected over first 100 cycles
Research with Prof. Simona Onori on stability and accuracy of different numerical schemes for Single Particle Model (SPM) of a lithium-ion battery
Repo for programming exercises and projects from Wing Wong's Bayesian Statistics Course
Paired back implementation of the Bidirectionary Encoder Representations from Transformers (BERT) model, with fine-tuning for downstream prediction tasks.
Introduction to parallel computing using MPI, openMP, and CUDA
Repo for programming exercises and projects from Dan Boneh's Intro to Cryptography
Reinforcement Learning python framework designed by Ashwin Rao & Tikhon Jelvis
Investigating impact of clean energy policies on electricity prices passed on to households
Learning "rust by example" using https://doc.rust-lang.org/stable/rust-by-example/index.html
A unified framework for machine learning with time series
Belief state estimation for Stanford's CS238/AA228 Decision Making Under Uncertainty
cookicutter vimrc file
[JS/CSS/HTML + Firebase] Wiki for synopses of significant academic publications in the fields of optimisation, bayesian statistics, machine learning, deep learning, and cryptography
[NextJS 13 + Vercel] Wiki for synopses of significant academic publications in the fields of optimisation, bayesian statistics, machine learning, deep learning, and cryptography
[Flutter Framework] Wiki for synopses of significant academic publications in the fields of optimisation, bayesian statistics, machine learning, deep learning, and cryptography