eMo 
  * ![](/assets/images/logo-github.svg)
  *   * 
NeMo: a toolkit for conversational AI.  ](https://github.com/NVIDIA/NeMo)

[

  * MONAI 
  * ![](/assets/images/logo-github.svg)
  *   * 
MONAI provides domain-optimized foundational capabilities for developing
healthcare imaging training workflows.  ](https://monai.io)

[

  * Flower 
  * ![](/assets/images/logo-github.svg)
  *   * 
Flower - A Friendly Federated Learning Framework  ](https://flower.dev)

[

  * FuseMedML 
  * ![](/assets/images/logo-github.svg)
  *   * 
FuseMedML is a python framework accelerating ML based discovery in the medical
field by encouraging code reuse  ](https://github.com/BiomedSciAI/fuse-med-ml)

[

  * L5Kit 
  * ![](/assets/images/logo-github.svg)
  *   * 
ML Prediction, Planning and Simulation for Self-Driving built on PyTorch.
](https://github.com/lyft/l5kit)

[

  * depyf 
  * ![](/assets/images/logo-github.svg)
  *   * 
depyf is a tool to help users understand and adapt to PyTorch compiler
torch.compile.  ](https://github.com/thuml/depyf)

[

  * PySyft 
  * ![](/assets/images/logo-github.svg)
  *   * 
PySyft is a Python library for encrypted, privacy preserving deep learning.
](https://github.com/OpenMined/PySyft)

[

  * GPyTorch 
  * ![](/assets/images/logo-github.svg)
  *   * 
GPyTorch is a Gaussian process library implemented using PyTorch, designed for
creating scalable, flexible Gaussian process models.  ](https://cornellius-
gp.github.io/)

[

  * PennyLane 
  * ![](/assets/images/logo-github.svg)
  *   * 
PennyLane is a library for quantum ML, automatic differentiation, and
optimization of hybrid quantum-classical computations.
](https://pennylane.ai/)

[

  * PyTorch-Points3d 
  * ![](/assets/images/logo-github.svg)
  *   * 
A PyTorch framework for deep learning on point clouds.  ](https://torch-
points3d.readthedocs.io/en/latest/)

[

  * PFRL 
  * ![](/assets/images/logo-github.svg)
  *   * 
PFRL is a deep reinforcement learning library that implements various state-
of-the-art deep reinforcement algorithms in Python using PyTorch.
](https://github.com/pfnet/pfrl)

[

  * GaNDLF 
  * ![](/assets/images/logo-github.svg)
  *   * 
A generalizable application framework for segmentation, regression, and
classification using PyTorch  ](https://mlcommons.github.io/GaNDLF/)

[

  * ludwig 
  * ![](/assets/images/logo-github.svg)
  *   * 
Data-centric declarative deep learning framework  ](http://ludwig.ai)

[

  * ParlAI 
  * ![](/assets/images/logo-github.svg)
  *   * 
ParlAI is a unified platform for sharing, training, and evaluating dialog
models across many tasks.  ](http://parl.ai/)

[

  * TorchQuantum 
  * ![](/assets/images/logo-github.svg)
  *   * 
TorchQuantum is a quantum classical simulation framework based on PyTorch. It
supports statevector, density matrix simulation and pulse simulation on
different hardware platforms such as CPUs and GPUs.
](https://hanruiwanghw.wixsite.com/torchquantum)

[

  * AllenNLP 
  * ![](/assets/images/logo-github.svg)
  *   * 
AllenNLP is an open-source research library built on PyTorch for designing and
evaluating deep learning models for NLP.  ](https://allennlp.org/)

[

  * Optuna 
  * ![](/assets/images/logo-github.svg)
  *   * 
An open source hyperparameter optimization framework to automate
hyperparameter search.  ](https://optuna.org/)

[

  * TorchIO 
  * ![](/assets/images/logo-github.svg)
  *   * 
TorchIO is a set of tools to efficiently read, preprocess, sample, augment,
and write 3D medical images in deep learning applications written in PyTorch.
](https://github.com/fepegar/torchio)

[

  * Transformers 
  * ![](/assets/images/logo-github.svg)
  *   * 
State-of-the-art Natural Language Processing for PyTorch.
](https://github.com/huggingface/transformers)

[

  * TorchDrift 
  * ![](/assets/images/logo-github.svg)
  *   * 
TorchDrift is a data and concept drift library for PyTorch. It lets you
monitor your PyTorch models to see if they operate within spec.
](https://torchdrift.