diff --git a/doc/getting-started/quick_start.ipynb b/doc/getting-started/quick_start.ipynb index 2ddb6a195e..9af2d456bf 100644 --- a/doc/getting-started/quick_start.ipynb +++ b/doc/getting-started/quick_start.ipynb @@ -89,7 +89,7 @@ "\n", "\"Fig1\"\n", "\n", - "For more detailed usage, you can refer to the [DeePMD-kit’s documentation](https://docs.deepmodeling.org/projects/deepmd/en/master/index.html) as a comprehensive reference.\n", + "For more detailed usage, you can refer to the [DeePMD-kit’s documentation](https://docs.deepmodeling.com/projects/deepmd/en/master/index.html) as a comprehensive reference.\n", "\n", "In this case, the Deep Potential (DP) model was generated using the **DeePMD-kit package**.\n", "\n" @@ -638,7 +638,7 @@ "id": "7b0edb0f-df47-4e6c-8c37-5f32c4bd6b39", "metadata": {}, "source": [ - "More detailed docs about Data conversion can be found [here](https://docs.deepmodeling.org/projects/deepmd/en/master/data/data-conv.html)" + "More detailed docs about Data conversion can be found [here](https://docs.deepmodeling.com/projects/deepmd/en/master/data/data-conv.html)" ] }, { diff --git a/doc/install/install-from-source.md b/doc/install/install-from-source.md index 3d00129366..e523c5b220 100644 --- a/doc/install/install-from-source.md +++ b/doc/install/install-from-source.md @@ -52,7 +52,7 @@ If one does not need the GPU support of DeePMD-kit and is concerned about packag pip install --upgrade tensorflow-cpu ``` -One can also [use conda](https://docs.deepmodeling.org/faq/conda.html) to install TensorFlow from [conda-forge](https://conda-forge.org). +One can also [use conda](https://docs.deepmodeling.com/faq/conda.html) to install TensorFlow from [conda-forge](https://conda-forge.org). To verify the installation, run @@ -74,7 +74,7 @@ pip install torch Follow [PyTorch documentation](https://pytorch.org/get-started/locally/) to install PyTorch built against different CUDA versions or without CUDA. -One can also [use conda](https://docs.deepmodeling.org/faq/conda.html) to install PyTorch from [conda-forge](https://conda-forge.org). +One can also [use conda](https://docs.deepmodeling.com/faq/conda.html) to install PyTorch from [conda-forge](https://conda-forge.org). ::: @@ -89,7 +89,7 @@ pip install jax-ai-stack One can also install packages in JAX AI Stack manually. Follow [JAX documentation](https://jax.readthedocs.io/en/latest/installation.html) to install JAX built against different CUDA versions or without CUDA. -One can also [use conda](https://docs.deepmodeling.org/faq/conda.html) to install JAX from [conda-forge](https://conda-forge.org). +One can also [use conda](https://docs.deepmodeling.com/faq/conda.html) to install JAX from [conda-forge](https://conda-forge.org). ::: @@ -383,7 +383,7 @@ pip install -U cmake You must enable at least one backend. If you enable two or more backends, these backend libraries must be built in a compatible way, e.g. using the same `_GLIBCXX_USE_CXX11_ABI` flag. -We recommend using [conda packages](https://docs.deepmodeling.org/faq/conda.html) from [conda-forge](https://conda-forge.org), which are usually compatible to each other. +We recommend using [conda packages](https://docs.deepmodeling.com/faq/conda.html) from [conda-forge](https://conda-forge.org), which are usually compatible to each other. ::::{tab-set}