docs(pytorch_ops): Pages for ARMA models, conceptors and ESN extension.

docs/index.rst

@@ -39,6 +39,17 @@ generate time series data for your research.
     time_tensors
     basetensors
 
+.. toctree::
+    :maxdepth: 1
+    :caption: Libraries
+
+    torchaudio <https://pytorch.org/audio/stable>
+    torchtext <https://pytorch.org/text/stable>
+    torchvision <https://pytorch.org/vision/stable>
+    TorchServe <https://pytorch.org/serve>
+    PyTorch on XLA Devices <http://pytorch.org/xla/>
+
+
 .. toctree::
     :glob:
     :maxdepth: 1

docs/notes/amra_models.rst

@@ -0,0 +1,20 @@
+Moving Average and Autoregressive Models
+========================================
+
+This note will present an overview of moving average (MA) and Auto-regression (AR) models implementation with EchoTorch.
+
+.. _esn_model:
+
+The Echo State Network model
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. _callbacks:
+
+Callbacks
+^^^^^^^^^
+
+.. _own_callbacks:
+
+Create your own callbacks
+^^^^^^^^^^^^^^^^^^^^^^^^^
+

docs/notes/conceptors.rst

@@ -0,0 +1,16 @@
+Conceptors and Self-Predicting ESN
+==================================
+
+This note will present an overview of how Conceptors and Self-Predicting ESN with EchoTorch.
+
+.. _self_predicting_esn:
+
+Self-Predicting Echo State Networks
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. _Conceptors:
+
+Conceptors
+^^^^^^^^^
+
+

docs/notes/extending_esn.rst

@@ -0,0 +1,21 @@
+Extending Echo State Networks
+=============================
+
+This note will present an overview of how Echo State Networks extention
+capability of EchoTorch.
+
+.. _esn_model:
+
+The Echo State Network model
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. _callbacks:
+
+Callbacks
+^^^^^^^^^
+
+.. _own_callbacks:
+
+Create your own callbacks
+^^^^^^^^^^^^^^^^^^^^^^^^^
+