diff --git a/pytorch_forecasting/models/deepar/__init__.py b/pytorch_forecasting/models/deepar/__init__.py
new file mode 100644
index 00000000..679f296f
--- /dev/null
+++ b/pytorch_forecasting/models/deepar/__init__.py
@@ -0,0 +1,5 @@
+"""DeepAR: Probabilistic forecasting with autoregressive recurrent networks."""
+
+from pytorch_forecasting.models.deepar._deepar import DeepAR
+
+__all__ = ["DeepAR"]
diff --git a/pytorch_forecasting/models/mlp/__init__.py b/pytorch_forecasting/models/mlp/__init__.py
new file mode 100644
index 00000000..6a3532fc
--- /dev/null
+++ b/pytorch_forecasting/models/mlp/__init__.py
@@ -0,0 +1,6 @@
+"""Simple models based on fully connected networks."""
+
+from pytorch_forecasting.models.mlp._decodermlp import DecoderMLP
+from pytorch_forecasting.models.mlp.submodules import FullyConnectedModule
+
+__all__ = ["DecoderMLP", "FullyConnectedModule"]
diff --git a/pytorch_forecasting/models/nbeats/__init__.py b/pytorch_forecasting/models/nbeats/__init__.py
new file mode 100644
index 00000000..dcf4e1b3
--- /dev/null
+++ b/pytorch_forecasting/models/nbeats/__init__.py
@@ -0,0 +1,6 @@
+"""N-Beats model for timeseries forecasting without covariates."""
+
+from pytorch_forecasting.models.nbeats._nbeats import NBeats
+from pytorch_forecasting.models.nbeats.sub_modules import NBEATSGenericBlock, NBEATSSeasonalBlock, NBEATSTrendBlock
+
+__all__ = ["NBeats", "NBEATSGenericBlock", "NBEATSSeasonalBlock", "NBEATSTrendBlock"]
diff --git a/pytorch_forecasting/models/nhits/__init__.py b/pytorch_forecasting/models/nhits/__init__.py
new file mode 100644
index 00000000..e7eb452d
--- /dev/null
+++ b/pytorch_forecasting/models/nhits/__init__.py
@@ -0,0 +1,6 @@
+"""N-HiTS model for timeseries forecasting with covariates."""
+
+from pytorch_forecasting.models.nhits._nhits import NHiTS
+from pytorch_forecasting.models.nhits.sub_modules import NHiTS as NHiTSModule
+
+__all__ = ["NHits", "NHiTSModule"]
diff --git a/pytorch_forecasting/models/rnn/__init__.py b/pytorch_forecasting/models/rnn/__init__.py
new file mode 100644
index 00000000..dfa9d809
--- /dev/null
+++ b/pytorch_forecasting/models/rnn/__init__.py
@@ -0,0 +1,5 @@
+"""Simple recurrent model - either with LSTM or GRU cells."""
+
+from pytorch_forecasting.models.rnn._rnn import RecurrentNetwork
+
+__all__ = ["RecurrentNetwork"]
diff --git a/pytorch_forecasting/models/temporal_fusion_transformer/__init__.py b/pytorch_forecasting/models/temporal_fusion_transformer/__init__.py
new file mode 100644
index 00000000..90a73ff1
--- /dev/null
+++ b/pytorch_forecasting/models/temporal_fusion_transformer/__init__.py
@@ -0,0 +1,21 @@
+"""Temporal fusion transformer for forecasting timeseries."""
+
+from pytorch_forecasting.models.temporal_fusion_transformer._tft import TemporalFusionTransformer
+from pytorch_forecasting.models.temporal_fusion_transformer.sub_modules import (
+    AddNorm,
+    GateAddNorm,
+    GatedLinearUnit,
+    GatedResidualNetwork,
+    InterpretableMultiHeadAttention,
+    VariableSelectionNetwork,
+)
+
+__all__ = [
+    "TemporalFusionTransformer",
+    "AddNorm",
+    "GateAddNorm",
+    "GatedLinearUnit",
+    "GatedResidualNetwork",
+    "InterpretableMultiHeadAttention",
+    "VariableSelectionNetwork",
+]