Sérgio Novais's repositories
weather_forecast
Previsão de temperatura, precipitação e velocidade do vento para uma cidade com ConvGRU
CREMA-D
Crowd Sourced Emotional Multimodal Actors Dataset (CREMA-D)
KerasBeats
Github Repository for the KerasBeats package. Easily import and use the NBeats NN architecture in Keras
timehetnet
Learning complex time series forecasting models usually requires a large amount of data, as each model is trained from scratch for each task/data set. Leveraging learning experience with similar datasets is a well-established technique for classification problems called few-shot classification. However, existing approaches cannot be applied to time-series forecasting because i) multivariate time-series datasets have different channels and ii) forecasting is principally different from classification. In this paper we formalize the problem of few-shot forecasting of time-series with heterogeneous channels for the first time. Extending recent work on heterogeneous attributes in vector data, we develop a model composed of permutation-invariant deep set-blocks which incorporate a temporal embedding. We assemble the first meta-dataset of 40 multivariate time-series datasets and show through experiments that our model provides a good generalization, outperforming baselines carried over from simpler scenarios that either fail to learn across tasks or miss temporal information.
UniCL_copy
Copy of The official implementation for "Unified Contrastive Learning in Image-Text-Label Space. CVPR 2022"