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.. |status| image:: http://www.repostatus.org/badges/latest/active.svg
:target: http://www.repostatus.org/#active
:alt: Project Status: Active – The project has reached a stable, usable state and is being actively developed.
.. |documentation| image:: https://readthedocs.com/projects/nvidia-nemo/badge/?version=main
:alt: Documentation
:target: https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/
.. |license| image:: https://img.shields.io/badge/License-Apache%202.0-brightgreen.svg
:target: https://github.com/NVIDIA/NeMo/blob/master/LICENSE
:alt: NeMo core license and license for collections in this repo
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:target: https://lgtm.com/projects/g/NVIDIA/NeMo/context:python
:alt: Language grade: Python
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.. _main-readme:
**NVIDIA NeMo**
===============
Introduction
------------
NeMo is a toolkit for creating `Conversational AI <https://developer.nvidia.com/conversational-ai#started>`_ applications.
`Introductory video. <https://www.youtube.com/embed/wBgpMf_KQVw>`_
The toolkit comes with extendable collections of pre-built modules and ready-to-use models for:
* `Automatic Speech Recognition (ASR) <https://ngc.nvidia.com/catalog/collections/nvidia:nemo_asr>`_
* `Natual Language Processing (NLP) <https://ngc.nvidia.com/catalog/collections/nvidia:nemo_nlp>`_
* `Text-to-Speech (TTS) <https://ngc.nvidia.com/catalog/collections/nvidia:nemo_tts>`_.
Built for speed, NeMo can utilize NVIDIA's Tensor Cores and scale out training to multiple GPUs and multiple nodes.
Requirements
------------
1) Python 3.6, 3.7 or 3.8
2) Pytorch 1.8.1 or above
3) NVIDIA GPU for training
Documentation
-------------
.. |main| image:: https://readthedocs.com/projects/nvidia-nemo/badge/?version=main
:alt: Documentation Status
:scale: 100%
:target: https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/
.. |v1.0.0| image:: https://readthedocs.com/projects/nvidia-nemo/badge/?version=v1.0.0
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:scale: 100%
:target: https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/v1.0.0/
.. |stable| image:: https://readthedocs.com/projects/nvidia-nemo/badge/?version=stable
:alt: Documentation Status
:scale: 100%
:target: https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/
+---------+-------------+----------------------------------------------------------------------------------------------------------------------------------+
| Version | Status | Description |
+=========+=============+==================================================================================================================================+
| Latest | |main| | `Documentation of the latest (i.e. main) branch. <https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/>`_ |
+---------+-------------+----------------------------------------------------------------------------------------------------------------------------------+
| Next | |v1.0.0| | `Documentation of the most recent release: v1.0.0 <https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/v1.0.0/>`_ |
+---------+-------------+----------------------------------------------------------------------------------------------------------------------------------+
| Stable | |stable| | `Documentation of the stable (i.e. stable) branch. <https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/>`_ |
+---------+-------------+----------------------------------------------------------------------------------------------------------------------------------+
Tutorials
---------
A great way to start with NeMo is by checking `one of our tutorials <https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/v1.0.0/starthere/tutorials.html>`_.
Getting help with NeMo
----------------------
FAQ can be found on NeMo's `Discussions board <https://github.com/NVIDIA/NeMo/discussions>`_. You are welcome to ask questions or start discussions there.
Installation
------------
Pip
~~~
Use this installation mode if you want the latest released version.
.. code-block:: bash
apt-get update && apt-get install -y libsndfile1 ffmpeg
pip install Cython
pip install nemo_toolkit['all']
Pip from source
~~~~~~~~~~~~~~~
Use this installation mode if you want the a version from particular GitHub branch (e.g main).
.. code-block:: bash
apt-get update && apt-get install -y libsndfile1 ffmpeg
pip install Cython
python -m pip install git+https://github.com/NVIDIA/NeMo.git@{BRANCH}#egg=nemo_toolkit[all]
From source
~~~~~~~~~~~
Use this installation mode if you are contributing to NeMo.
.. code-block:: bash
apt-get update && apt-get install -y libsndfile1 ffmpeg
git clone https://github.com/NVIDIA/NeMo
cd NeMo
./reinstall.sh
Docker containers:
~~~~~~~~~~~~~~~~~~
If you chose to work with main branch, we recommend using NVIDIA's PyTorch container version 21.03-py3 and then installing from GitHub.
.. code-block:: bash
docker run --gpus all -it --rm -v <nemo_github_folder>:/NeMo --shm-size=8g \
-p 8888:8888 -p 6006:6006 --ulimit memlock=-1 --ulimit \
stack=67108864 --device=/dev/snd nvcr.io/nvidia/pytorch:21.03-py3
Examples
--------
Many example can be found under `"Examples" <https://github.com/NVIDIA/NeMo/tree/main/examples>`_ folder.
Contributing
------------
We welcome community contributions! Please refer to the `CONTRIBUTING.md <https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md>`_ CONTRIBUTING.md for the process.
License
-------
NeMo is under `Apache 2.0 license <https://github.com/NVIDIA/NeMo/blob/main/LICENSE>`_.
