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core
core
 
 
graphs
graphs
 
 
models
models
 
 
results
results
 
 
.gitignore
.gitignore
 
 
AGENTIC_COGNITIVE_KERNELS_DOCS.md
AGENTIC_COGNITIVE_KERNELS_DOCS.md
 
 
README.md
README.md
 
 
agentic-cognitive-kernels-simple.scm
agentic-cognitive-kernels-simple.scm
 
 
agentic-cognitive-kernels.scm
agentic-cognitive-kernels.scm
 
 
already_seen.py
already_seen.py
 
 
author_clustering.py
author_clustering.py
 
 
author_clustering_author_embeddings_iqla.py
author_clustering_author_embeddings_iqla.py
 
 
author_clustering_distance.py
author_clustering_distance.py
 
 
author_clustering_distance_two_authors.py
author_clustering_distance_two_authors.py
 
 
author_clustering_document_embeddings.py
author_clustering_document_embeddings.py
 
 
author_clustering_documents.py
author_clustering_documents.py
 
 
author_clustering_explorer.py
author_clustering_explorer.py
 
 
author_clustering_find_reservoir.py
author_clustering_find_reservoir.py
 
 
author_clustering_one_reservoir.py
author_clustering_one_reservoir.py
 
 
author_clustering_semisupervised.py
author_clustering_semisupervised.py
 
 
author_clustering_semisupervised_esn_distance.py
author_clustering_semisupervised_esn_distance.py
 
 
author_clustering_with_pos.py
author_clustering_with_pos.py
 
 
author_clustering_with_pos_explorer.py
author_clustering_with_pos_explorer.py
 
 
author_clustering_with_tags.py
author_clustering_with_tags.py
 
 
author_clustering_with_word_vectors.py
author_clustering_with_word_vectors.py
 
 
author_identification_elena_ferrante.py
author_identification_elena_ferrante.py
 
 
authorship_attribution.py
authorship_attribution.py
 
 
authorship_attribution_author_identification.py
authorship_attribution_author_identification.py
 
 
authorship_attribution_author_identification_author_samples.py
authorship_attribution_author_identification_author_samples.py
 
 
authorship_attribution_explorer.py
authorship_attribution_explorer.py
 
 
authorship_attribution_multiply.py
authorship_attribution_multiply.py
 
 
authorship_attribution_n_authors.py
authorship_attribution_n_authors.py
 
 
authorship_attribution_n_authors_authors.py
authorship_attribution_n_authors_authors.py
 
 
authorship_attribution_n_authors_reservoir_samples.py
authorship_attribution_n_authors_reservoir_samples.py
 
 
authorship_attribution_n_authors_reservoir_size.py
authorship_attribution_n_authors_reservoir_size.py
 
 
authorship_attribution_n_authors_sentence_classification.py
authorship_attribution_n_authors_sentence_classification.py
 
 
authorship_attribution_n_authors_training_size.py
authorship_attribution_n_authors_training_size.py
 
 
authorship_attribution_output_graph.py
authorship_attribution_output_graph.py
 
 
authorship_attribution_sentence_classification.py
authorship_attribution_sentence_classification.py
 
 
authorship_attribution_two_authors_author_sample.py
authorship_attribution_two_authors_author_sample.py
 
 
authorship_attribution_two_authors_combined_inputs_perfs.py
authorship_attribution_two_authors_combined_inputs_perfs.py
 
 
authorship_attribution_two_authors_compare_models.py
authorship_attribution_two_authors_compare_models.py
 
 
authorship_attribution_two_authors_debugging.py
authorship_attribution_two_authors_debugging.py
 
 
authorship_attribution_two_authors_inputs_perfs.py
authorship_attribution_two_authors_inputs_perfs.py
 
 
authorship_attribution_two_authors_leaky_rate.py
authorship_attribution_two_authors_leaky_rate.py
 
 
authorship_attribution_two_authors_letters.py
authorship_attribution_two_authors_letters.py
 
 
authorship_attribution_two_authors_one_hot_inputs.py
authorship_attribution_two_authors_one_hot_inputs.py
 
 
authorship_attribution_two_authors_reservoir_sample.py
authorship_attribution_two_authors_reservoir_sample.py
 
 
authorship_attribution_two_authors_reservoir_size.py
authorship_attribution_two_authors_reservoir_size.py
 
 
authorship_attribution_two_authors_spectral_radius.py
authorship_attribution_two_authors_spectral_radius.py
 
 
authorship_attribution_two_authors_training_size.py
authorship_attribution_two_authors_training_size.py
 
 
authorship_attribution_two_authors_two_sided_inputs.py
authorship_attribution_two_authors_two_sided_inputs.py
 
 
authorship_attribution_with_function_words.py
authorship_attribution_with_function_words.py
 
 
authorship_attribution_with_pos.py
authorship_attribution_with_pos.py
 
 
authorship_attribution_with_tags.py
authorship_attribution_with_tags.py
 
 
authorship_attribution_with_word_vectors.py
authorship_attribution_with_word_vectors.py
 
 
authorship_diarization.py
authorship_diarization.py
 
 
create_iqla_giat_dataset.py
create_iqla_giat_dataset.py
 
 
create_pca_model.py
create_pca_model.py
 
 
echo_ggml_kernel.py
echo_ggml_kernel.py
 
 
echo_language_model.py
echo_language_model.py
 
 
echo_language_model_one_hot.py
echo_language_model_one_hot.py
 
 
echo_language_model_one_hot_test_embeddings.py
echo_language_model_one_hot_test_embeddings.py
 
 
echo_language_model_one_hot_wikipedia.py
echo_language_model_one_hot_wikipedia.py
 
 
echo_language_model_tiny.py
echo_language_model_tiny.py
 
 
esn_ngram_analyze.py
esn_ngram_analyze.py
 
 
flatten_reuters_dataset.py
flatten_reuters_dataset.py
 
 
integration_demo.py
integration_demo.py
 
 
iqla_author_identification.py
iqla_author_identification.py
 
 
iqla_authorship_attribution.py
iqla_authorship_attribution.py
 
 
multiple_memory.py
multiple_memory.py
 
 
pan16_author_clustering_task.py
pan16_author_clustering_task.py
 
 
pca_reduction.py
pca_reduction.py
 
 
prepare_dataset.py
prepare_dataset.py
 
 
switch_attractor.py
switch_attractor.py
 
 
switch_attractor_explorer.py
switch_attractor_explorer.py
 
 
switch_attractor_two_reservoirs.py
switch_attractor_two_reservoirs.py
 
 
symbol_memory.py
symbol_memory.py
 
 
test_agentic_kernel.py
test_agentic_kernel.py
 
 
wikipedia_cleaner.py
wikipedia_cleaner.py
 
 
word_embeddings_generator.py
word_embeddings_generator.py
 
 

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RCNLP

Application of Reservoir Computing to Natural Language Processing tasks. The following experiments are available in this project:

  • Switch Attractor Experiment :
  • Multidimensional memory :
  • Symbol memory :

Switch Attractor Experiments

About

RCNLP - Echo State Network for Natural Language Processing is a research project about Reservoir Computing for NLP tasks

www.researchgate.net/project/RCNLP-Echo-State-Network-for-Natural-Language-Processing

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