Loading docs/source/conf.py +0 −1 Original line number Diff line number Diff line Loading @@ -61,7 +61,6 @@ master_doc = 'index' # autosectionlabel setting autosectionlabel_prefix_document = True autosectionlabel_maxdepth = 3 # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. Loading docs/source/get_started/tutorial.rst +8 −8 Original line number Diff line number Diff line Loading @@ -11,9 +11,9 @@ library? Simply put, DeepChem maintains an extensive collection of utilities to enable scientific deep learning including classes for loading scientific datasets, processing them, transforming them, splitting them up, and learning from them. Behind the scenes DeepChem uses a variety of other machine learning frameworks such as `sklearn`_, `tensorflow`_, and `xgboost`_. We are also experimenting with adding additional models implemented in `pytorch`_ and `jax`_. Our focus is to facilitate scientific experimentation using learning frameworks such as `scikit-learn`_, `TensorFlow`_, and `XGBoost`_. We are also experimenting with adding additional models implemented in `PyTorch`_ and `JAX`_. Our focus is to facilitate scientific experimentation using whatever tools are available at hand. DeepChem maintains an extensive collection of addition `tutorials`_ that are meant to be run on `Google colab`_, Loading @@ -33,11 +33,11 @@ but we should give you enough to get started. We show the first 10 tutorials. Please try more tutorials! .. _`sklearn`: https://scikit-learn.org/stable/ .. _`tensorflow`: https://www.tensorflow.org/ .. _`xgboost`: https://xgboost.readthedocs.io/en/latest/ .. _`pytorch`: https://pytorch.org/ .. _`jax`: https://github.com/google/jax .. _`scikit-learn`: https://scikit-learn.org/stable/ .. _`TensorFlow`: https://www.tensorflow.org/ .. _`XGBoost`: https://xgboost.readthedocs.io/en/latest/ .. _`PyTorch`: https://pytorch.org/ .. _`JAX`: https://github.com/google/jax .. _`tutorials`: https://github.com/deepchem/deepchem/tree/master/examples/tutorials .. _`Google colab`: https://colab.research.google.com/ .. _`Basic Tools of the Deep Life Sciences`: https://github.com/deepchem/deepchem/blob/master/examples/tutorials/01_The_Basic_Tools_of_the_Deep_Life_Sciences.ipynb Loading Loading
docs/source/conf.py +0 −1 Original line number Diff line number Diff line Loading @@ -61,7 +61,6 @@ master_doc = 'index' # autosectionlabel setting autosectionlabel_prefix_document = True autosectionlabel_maxdepth = 3 # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. Loading
docs/source/get_started/tutorial.rst +8 −8 Original line number Diff line number Diff line Loading @@ -11,9 +11,9 @@ library? Simply put, DeepChem maintains an extensive collection of utilities to enable scientific deep learning including classes for loading scientific datasets, processing them, transforming them, splitting them up, and learning from them. Behind the scenes DeepChem uses a variety of other machine learning frameworks such as `sklearn`_, `tensorflow`_, and `xgboost`_. We are also experimenting with adding additional models implemented in `pytorch`_ and `jax`_. Our focus is to facilitate scientific experimentation using learning frameworks such as `scikit-learn`_, `TensorFlow`_, and `XGBoost`_. We are also experimenting with adding additional models implemented in `PyTorch`_ and `JAX`_. Our focus is to facilitate scientific experimentation using whatever tools are available at hand. DeepChem maintains an extensive collection of addition `tutorials`_ that are meant to be run on `Google colab`_, Loading @@ -33,11 +33,11 @@ but we should give you enough to get started. We show the first 10 tutorials. Please try more tutorials! .. _`sklearn`: https://scikit-learn.org/stable/ .. _`tensorflow`: https://www.tensorflow.org/ .. _`xgboost`: https://xgboost.readthedocs.io/en/latest/ .. _`pytorch`: https://pytorch.org/ .. _`jax`: https://github.com/google/jax .. _`scikit-learn`: https://scikit-learn.org/stable/ .. _`TensorFlow`: https://www.tensorflow.org/ .. _`XGBoost`: https://xgboost.readthedocs.io/en/latest/ .. _`PyTorch`: https://pytorch.org/ .. _`JAX`: https://github.com/google/jax .. _`tutorials`: https://github.com/deepchem/deepchem/tree/master/examples/tutorials .. _`Google colab`: https://colab.research.google.com/ .. _`Basic Tools of the Deep Life Sciences`: https://github.com/deepchem/deepchem/blob/master/examples/tutorials/01_The_Basic_Tools_of_the_Deep_Life_Sciences.ipynb Loading
