jla-gardner
DPhil Student using Machine Learning to perform accurate, atomistic simulations of molecules and materials.
University of OxfordOxford
Pinned Repositories
carbon-data
A 22.9 million carbon atom dataset
digital-experiments
🧪👨💻 keep track of your python experiments
how-to-validate-potentials
Some tutorial-style examples for validating machine-learned interatomic potentials
jla-gardner
Config files for my GitHub profile.
julia
The Julia Programming Language
load-atoms
⚛ download and manipulate atomistic datasets
locache
💾 persist expensive function calls to disk
mol-wasm
Molecular visualisation with web assembly
nnp-pre-training
how-to-validate-potentials
Some tutorial-style examples for validating machine-learned interatomic potentials
jla-gardner's Repositories
jla-gardner/load-atoms
⚛ download and manipulate atomistic datasets
jla-gardner/carbon-data
A 22.9 million carbon atom dataset
jla-gardner/nnp-pre-training
jla-gardner/locache
💾 persist expensive function calls to disk
jla-gardner/digital-experiments
🧪👨💻 keep track of your python experiments
jla-gardner/how-to-validate-potentials
Some tutorial-style examples for validating machine-learned interatomic potentials
jla-gardner/jla-gardner
Config files for my GitHub profile.
jla-gardner/julia
The Julia Programming Language
jla-gardner/mol-wasm
Molecular visualisation with web assembly
jla-gardner/synthetic-data-experiments
jla-gardner/synthetic-fine-tuning-experiments
Perform pre-training on synthetically labelled atomistic data.