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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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**NVIDIA NeMo**
===============
Introduction
------------
NeMo is a toolkit for creating `Conversational AI <https://developer.nvidia.com/conversational-ai#started>`_ applications.
`NeMo product page. <https://developer.nvidia.com/nvidia-nemo>`_
`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),
Natual Language Processing (NLP) and Text-to-Speech (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 1.7.1. WARNING: This version currently does not support Pytorch 1.8.0
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/
.. |r1.0.0rc1| image:: https://readthedocs.com/projects/nvidia-nemo/badge/?version=r1.0.0rc1
:alt: Documentation Status
:scale: 100%
:target: https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/r1.0.0rc1/
.. |v1.0.0b1| image:: https://readthedocs.com/projects/nvidia-nemo/badge/?version=v1.0.0b1
:alt: Documentation Status
:scale: 100%
:target: https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/v1.0.0b1/
+---------+-------------+----------------------------------------------------------------------------------------------------------------------------------+
| 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 | |r1.0.0rc1| | `Documentation of the next release (i.e. r1.0.0rc1). <https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/r1.0.0rc1/>`_ |
+---------+-------------+----------------------------------------------------------------------------------------------------------------------------------+
| Stable | |v1.0.0b1| | `Documentation of the stable (i.e. v1.0.0b1) branch. <https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/v1.0.0b1/>`_ |
+---------+-------------+----------------------------------------------------------------------------------------------------------------------------------+
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/r1.0.0rc1/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]==1.0.0b3
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:
~~~~~~~~~~~~~~~~~~
The easiest way to start training with NeMo is by using `NeMo's container <https://ngc.nvidia.com/catalog/containers/nvidia:nemo>`_.
It has all requirements and NeMo 1.0.0rc1 already installed.
.. code-block:: bash
docker run --gpus all -it --rm --shm-size=8g \
-p 8888:8888 -p 6006:6006 --ulimit memlock=-1 --ulimit \
stack=67108864 --device=/dev/snd nvcr.io/nvidia/nemo:1.0.0rc1
If you chose to work with main branch, we recommend using NVIDIA's PyTorch container version 20.11-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:20.11-py3
Examples
--------
Many example can be found under `"Examples" folder. <https://github.com/NVIDIA/NeMo/tree/main/examples>`_
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>`_.
