Luke Conibear's repositories
papers_wrfotron
WRF-Chem code for academic papers
introduction_to_scientific_computing
A introduction to scientific computing with a focus for users at the University of Leeds
ams2024-ops-ml
AMS2024 slides for operationalising ML weather products
emulator_annual
Long-term emulator (Gaussian Process Regressor) of WRF-Chem
emulator_training
Guide to using machine learning emulators of numerical atmospheric models.
air_pollution_human_health
Lecture slides on Air Pollution and Human Health
air_quality_emulator_app
App for air quality emulator
dask
Parallel computing with task scheduling
distributed
A distributed task scheduler for Dask
ESEm
Easy emulating of geophysical models including (but not limited to!) Earth System Models.
FourCastNet
Initial public release of code, data, and model weights for FourCastNet
health_impact_assessment
Code for health impact assessments from air pollution exposure
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
lightning
The most intuitive, flexible, way to build PyTorch models and lightning apps that glue together everything around the models, without the pain of infrastructure, cost management, scaling and everything else.
lukeconibear.github.io
Personal website
machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
numba
NumPy aware dynamic Python compiler using LLVM
numpy
The fundamental package for scientific computing with Python.
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
python-mastery
Advanced Python Mastery (course by @dabeaz)
quant-python-03-2022-replit
repl.it site for quant-python-03-2022
the-turing-way
Host repository for The Turing Way: a how to guide for reproducible data science
xarray
N-D labeled arrays and datasets in Python