Predictions
ID
Lang
Model name
Repository
Description
474
LSTM model for Infodengue Sprint
Predictions for 2023 in MS using the att_3 architecture
473
LSTM model for Infodengue Sprint
Predictions for 2023 in MT using the att_3 architecture
472
LSTM model for Infodengue Sprint
Predictions for 2023 in DF using the att_3 architecture
471
LSTM model for Infodengue Sprint
Predictions for 2023 in PA using the comb_att_n architecture
470
LSTM model for Infodengue Sprint
Predictions for 2023 in RO using the comb_att_n architecture
469
LSTM model for Infodengue Sprint
Predictions for 2023 in RR using the comb_att_n architecture
468
LSTM model for Infodengue Sprint
Predictions for 2023 in AC using the comb_att_n architecture
467
LSTM model for Infodengue Sprint
Predictions for 2023 in AP using the comb_att_n architecture
466
LSTM model for Infodengue Sprint
Predictions for 2023 in RS using the baseline architecture
465
LSTM model for Infodengue Sprint
Predictions for 2023 in SC using the baseline architecture
464
LSTM model for Infodengue Sprint
Predictions for 2023 in ES using the baseline architecture
463
LSTM model for Infodengue Sprint
Predictions for 2023 in RJ using the baseline architecture
462
LSTM model for Infodengue Sprint
Predictions for 2023 in SP using the baseline architecture
461
LSTM model for Infodengue Sprint
Predictions for 2023 in AL using the baseline architecture
460
LSTM model for Infodengue Sprint
Predictions for 2023 in BA using the baseline architecture
459
LSTM model for Infodengue Sprint
Predictions for 2023 in MA using the baseline architecture
458
LSTM model for Infodengue Sprint
Predictions for 2023 in PE using the baseline architecture
457
LSTM model for Infodengue Sprint
Predictions for 2023 in TO using the baseline architecture
700 predictions
https://api.mosqlimate.org/api/registry/predictions/?page=9&per_page=50&
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