- Biochem Graphormer / Lipophilicity (Unfinished): Using Graphormer to Predict Small Molecule Lipophilicity
- Biochem Transformer / PFam: Using Transformer Encoder to Classify Protein Sequences
- Biochem Transformer / PFam_RNN: Using LSTM to Classify Protein Sequences for Benchmarking
- DiffEq: Experimentation with Autograd for Differential Equations
- Experimental: Junkyard with ideas currently being fleshed out
- Multihead: Notebook to help understand multihead attention
- Timeseries Attention: Application of Basic Transformer Attention to Timeseries Forcasting
- Timeseries Transformer: Application of Basic Transformer Encoder Layer to Timeseries Forcasting
- Examples are not currently packaged, cd into a subfolder to run scripts
- Timeseries Attention models are in timeseries_attention/forcasting_model.py; Examples are run from other scripts;
- Timeseries Encoder models are in timeseries_transformer/forcasting_model.py; Examples are run from other scripts;
- Protein Family Transformer Classifier models are in biochem_transformer/pfam/pfam_model.py; Example is run from the pfam_example.py script in this folder
- Protein Family LSTM Classifier models are in biochem_transformer/pfam_rnn/pfam_model.py; Example is run from the pfam_example.py script in this folder