Update docs

.gitignore

@@ -19,3 +19,8 @@ docs/_build
 # ignore specific kinds of files like all PDFs
 *.pdf
 *.ipynb
+*TODO
+
+# ignore executable and config files
+*.sh
+*.yml

README.md

@@ -77,7 +77,8 @@ algorithms, PyPOTS is going to have unified APIs together with detailed document
 algorithms as tutorials.
 
 🤗 **Please** star this repo to help others notice PyPOTS if you think it is a useful toolkit.
-**Please** kindly [cite PyPOTS](https://github.com/WenjieDu/PyPOTS#-citing-pypots) in your publications if it helps with your research.
+**Please** kindly [cite PyPOTS](https://github.com/WenjieDu/PyPOTS#-citing-pypots) in your publications if it helps with
+your research.
 This really means a lot to our open-source research. Thank you!
 
 The rest of this readme file is organized as follows:
@@ -98,9 +99,9 @@ corresponding task (note that models will be continuously updated in the future
 currently supported. Stay tuned❗️).
 
 🌟 Since **v0.2**, all neural-network models in PyPOTS has got hyperparameter-optimization support.
-This functionality is implemented with the [Microsoft NNI](https://github.com/microsoft/nni) framework. You may want to refer to our time-series
-imputation survey repo [Awesome_Imputation](https://github.com/WenjieDu/Awesome_Imputation) to see how to config and
-tune the hyperparameters.
+This functionality is implemented with the [Microsoft NNI](https://github.com/microsoft/nni) framework. You may want to
+refer to our time-series imputation survey repo [Awesome_Imputation](https://github.com/WenjieDu/Awesome_Imputation)
+to see how to config and tune the hyperparameters.
 
 🔥 Note that all models whose name with `🧑‍🔧` in the table (e.g. Transformer, iTransformer, Informer etc.) are not
 originally proposed as algorithms for POTS data in their papers, and they cannot directly accept time series with
@@ -225,7 +226,9 @@ for a guideline with more details.
 
 PyPOTS is available on both [PyPI](https://pypi.python.org/pypi/pypots)
 and [Anaconda](https://anaconda.org/conda-forge/pypots).
-You can install PyPOTS like below as well as TSDB and PyGrinder:
+You can install PyPOTS like below as well as
+[TSDB](https://github.com/WenjieDu/TSDB),[PyGrinder](https://github.com/WenjieDu/PyGrinder),
+[BenchPOTS](https://github.com/WenjieDu/BenchPOTS), and [AI4TS](https://github.com/WenjieDu/AI4TS):
 
 ``` bash
 # via pip
@@ -235,8 +238,8 @@ pip install pypots --upgrade  # update pypots to the latest version
 pip install https://github.com/WenjieDu/PyPOTS/archive/main.zip
 
 # via conda
-conda install -c conda-forge pypots  # the first time installation
-conda update  -c conda-forge pypots  # update pypots to the latest version
+conda install conda-forge::pypots  # the first time installation
+conda update  conda-forge::pypots  # update pypots to the latest version
 ```
 
 ## ❖ Usage