NeMo is a toolkit for creating Conversational AI applications.

NeMo product page.

Introductory video.

The toolkit comes with extendable collections of pre-built modules and ready-to-use models for:

• Automatic Speech Recognition (ASR)
• Natual Language Processing (NLP)
• Text-to-Speech (TTS).

Built for speed, NeMo can utilize NVIDIA's Tensor Cores and scale out training to multiple GPUs and multiple nodes.

1. Python 3.6, 3.7 or 3.8
2. Pytorch 1.8.0 or above
3. NVIDIA GPU for training

Version	Status	Description
Latest		Documentation of the latest (i.e. main) branch.
Next		Documentation of the most recent release: r1.0.0rc1
Stable		Documentation of the stable (i.e. stable) branch.

A great way to start with NeMo is by checking one of our tutorials.

FAQ can be found on NeMo's Discussions board. You are welcome to ask questions or start discussions there.

Use this installation mode if you want the latest released version.

apt-get update && apt-get install -y libsndfile1 ffmpeg
pip install Cython
pip install nemo_toolkit['all']==1.0.0rc1

Use this installation mode if you want the a version from particular GitHub branch (e.g main).

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]

Use this installation mode if you are contributing to NeMo.

apt-get update && apt-get install -y libsndfile1 ffmpeg
git clone https://github.com/NVIDIA/NeMo
cd NeMo
./reinstall.sh

The easiest way to start training with NeMo is by using NeMo's container. It has all requirements and NeMo 1.0.0rc1 already installed.

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 21.03-py3 and then installing from GitHub.

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

Many example can be found under "Examples" folder.

We welcome community contributions! Please refer to the CONTRIBUTING.md CONTRIBUTING.md for the process.

NeMo is under Apache 2.0 license.