NeuralForecast offers a large collection of neural forecasting models focused on their usability, and robustness. The models range from classic networks like MLP
, RNN
s to novel proven contributions like NBEATS
, NHITS
, TFT
and other architectures.
NBEATS
,
NHITS
,
TFT
,
ESRNN
prediction components.StatsForecast
and MLForecast
compatibility.MLP
,
LSTM
,
RNN
,
TCN
,
DilatedRNN
,
NBEATS
,
NHITS
,
ESRNN
,
Informer
,
TFT
,
PatchTST
,
VanillaTransformer
,
StemGNN
and
HINT
.
See the entire collection
here.NeuralForecast
,
a library favoring proven accurate and efficient models focusing on
their usability.
NeuralForecast
’s
released version from the Python package index
pip with:
NeuralForecast
’s
released version from
conda with: