LSTM_Autoencoder_And_Transformer_Latent_Model

Comprehensive Pipeline Consisting of LSTM + Variational and Transformer Based Autoencoders + PCA/UMAP (Parameterized and Non-Parameterized) For Generating Low-Dimensional Manifold Representation of V1 Neural Activity

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
dPCA		dPCA
data		data
models		models
modules		modules
README.md		README.md
handle_inputs.py		handle_inputs.py
main.py		main.py
plot_outputs.py		plot_outputs.py
plot_outputs2.py		plot_outputs2.py
shallow_ml_main.py		shallow_ml_main.py
shallow_ml_plotting.py		shallow_ml_plotting.py

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