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SC_pretrained_weights
SC_pretrained_weights
 
 
SGSC_pretrained_weights
SGSC_pretrained_weights
 
 
SGSC_pretrained_weights_4
SGSC_pretrained_weights_4
 
 
SGSC_pretrained_weights_recurrent
SGSC_pretrained_weights_recurrent
 
 
archive_code
archive_code
 
 
mel-spectrogram encoding
mel-spectrogram encoding
 
 
output
output
 
 
HD_eventprop_run.py
HD_eventprop_run.py
 
 
HD_params.json
HD_params.json
 
 
README.md
README.md
 
 
SC_dataset_loader.py
SC_dataset_loader.py
 
 
SC_eventprop_load.py
SC_eventprop_load.py
 
 
SC_eventprop_run.py
SC_eventprop_run.py
 
 
SC_genn_inference.ipynb
SC_genn_inference.ipynb
 
 
SC_lava_inference.ipynb
SC_lava_inference.ipynb
 
 
SC_params.json
SC_params.json
 
 
SC_params_1msHop.json
SC_params_1msHop.json
 
 
SC_preprocessing.ipynb
SC_preprocessing.ipynb
 
 
SGSC_dataset_currents_to_spike-times.py
SGSC_dataset_currents_to_spike-times.py
 
 
SGSC_dataset_loader_padded_spikes.py
SGSC_dataset_loader_padded_spikes.py
 
 
SGSC_genn_inference.ipynb
SGSC_genn_inference.ipynb
 
 
SGSC_genn_train.py
SGSC_genn_train.py
 
 
SGSC_lava_inference_CPU_fixed.ipynb
SGSC_lava_inference_CPU_fixed.ipynb
 
 
SGSC_lava_inference_CPU_fixed.py
SGSC_lava_inference_CPU_fixed.py
 
 
SGSC_lava_inference_CPU_floating.ipynb
SGSC_lava_inference_CPU_floating.ipynb
 
 
SGSC_lava_inference_CPU_floating.py
SGSC_lava_inference_CPU_floating.py
 
 
SGSC_lava_inference_Loihi_dev.py
SGSC_lava_inference_Loihi_dev.py
 
 
SGSC_lava_inference_Loihi_fixed copy.ipynb
SGSC_lava_inference_Loihi_fixed copy.ipynb
 
 
SGSC_lava_inference_Loihi_fixed.ipynb
SGSC_lava_inference_Loihi_fixed.ipynb
 
 
SGSC_lava_inference_Loihi_fixed.py
SGSC_lava_inference_Loihi_fixed.py
 
 
SGSC_lava_inference_Loihi_plot_script.py
SGSC_lava_inference_Loihi_plot_script.py
 
 
SGSC_lava_scanning_script.py
SGSC_lava_scanning_script.py
 
 
SGSC_params.json
SGSC_params.json
 
 
augmentation_tools.py
augmentation_tools.py
 
 
augmentation_tools_spike_times.py
augmentation_tools_spike_times.py
 
 
eventprop_main.py
eventprop_main.py
 
 
jade_parallel_search.sh
jade_parallel_search.sh
 
 
lava_SGSC.py
lava_SGSC.py
 
 
lava_SHD_5.py
lava_SHD_5.py
 
 
live_plot.py
live_plot.py
 
 
params_builder.py
params_builder.py
 
 
rawHD_analyse_training_data.ipynb
rawHD_analyse_training_data.ipynb
 
 
rawHD_dataset_currents_to_spike-times.py
rawHD_dataset_currents_to_spike-times.py
 
 
rawHD_dataset_loader_padded_spikes.py
rawHD_dataset_loader_padded_spikes.py
 
 
rawHD_genn_inference.ipynb
rawHD_genn_inference.ipynb
 
 
rawHD_genn_inference_cross_validation.ipynb
rawHD_genn_inference_cross_validation.ipynb
 
 
rawHD_genn_train.py
rawHD_genn_train.py
 
 
rawHD_genn_train_crossvalidation.py
rawHD_genn_train_crossvalidation.py
 
 
rawHD_genn_train_crossvalidation_withhold-speaker.py
rawHD_genn_train_crossvalidation_withhold-speaker.py
 
 
rawHD_genn_train_single_speaker.py
rawHD_genn_train_single_speaker.py
 
 
rawHD_params.json
rawHD_params.json
 
 
single_neuron_summary.py
single_neuron_summary.py
 
 

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Intel-Neuromorphic-Research-Project

TODO:

Grid search for input layer on compressed time Augmentation ~~ Regularisation ~~ 100e av accuracy on cross validation @ 80% accuracy

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