le 
  * ![](/assets/images/logo-github.svg)
  *   * 
octoml-profile is a python library and cloud service designed to provide a
simple experience for assessing and optimizing the performance of PyTorch
models.  ](https://github.com/octoml/octoml-profile)

[

  * raster-vision 
  * ![](/assets/images/logo-github.svg)
  *   * 
An open source framework for deep learning on satellite and aerial imagery.
](https://docs.rastervision.io)

[

  * fastai 
  * ![](/assets/images/logo-github.svg)
  *   * 
fastai is a library that simplifies training fast and accurate neural nets
using modern best practices.  ](https://docs.fast.ai)

[

  * TextBrewer 
  * ![](/assets/images/logo-github.svg)
  *   * 
A PyTorch-based knowledge distillation toolkit for natural language processing
](http://textbrewer.hfl-rc.com)

[

  * Albumentations 
  * ![](/assets/images/logo-github.svg)
  *   * 
Fast and extensible image augmentation library for different CV tasks like
classification, segmentation, object detection and pose estimation.
](https://github.com/albu/albumentations)

[

  * ClinicaDL 
  * ![](/assets/images/logo-github.svg)
  *   * 
Framework for reproducible classification of Alzheimer's Disease
](https://clinicadl.readthedocs.io/)

[

  * Renate 
  * ![](/assets/images/logo-github.svg)
  *   * 
Renate is a library providing tools for re-training pytorch models over time
as new data becomes available.  ](https://renate.readthedocs.io/en/latest/)

[

  * Glow 
  * ![](/assets/images/logo-github.svg)
  *   * 
Glow is a ML compiler that accelerates the performance of deep learning
frameworks on different hardware platforms.
](https://github.com/pytorch/glow)

[

  * ivy 
  * ![](/assets/images/logo-github.svg)
  *   * 
The Unified Machine Learning Framework  ](https://lets-unify.ai)

[

  * PopTorch 
  * ![](/assets/images/logo-github.svg)
  *   * 
The PopTorch interface library is a simple wrapper for running PyTorch
programs directly on Graphcore IPUs.
](https://docs.graphcore.ai/projects/poptorch-user-guide/en/latest/)

[

  * Ray 
  * ![](/assets/images/logo-github.svg)
  *   * 
Ray is a fast and simple framework for building and running distributed
applications.  ](https://github.com/ray-project/ray)

[

  * AdverTorch 
  * ![](/assets/images/logo-github.svg)
  *   * 
A toolbox for adversarial robustness research. It contains modules for
generating adversarial examples and defending against attacks.
](https://github.com/BorealisAI/advertorch)

[

  * torchdistill 
  * ![](/assets/images/logo-github.svg)
  *   * 
torchdistill is a coding-free framework built on PyTorch for reproducible deep
learning and knowledge distillation studies.  ](https://github.com/yoshitomo-
matsubara/torchdistill)

[

  * TorchOpt 
  * ![](/assets/images/logo-github.svg)
  *   * 
TorchOpt is a PyTorch-based library for efficient differentiable optimization.
](https://torchopt.readthedocs.io/en/latest/#)

[

  * pystiche 
  * ![](/assets/images/logo-github.svg)
  *   * 
pystiche is a framework for Neural Style Transfer (NST) built upon PyTorch.
](https://github.com/pystiche/pystiche)

[

  * SimulAI 
  * ![](/assets/images/logo-github.svg)
  *   * 
SimulAI is basically a toolkit with pipelines for physics-informed machine
learning.  ](https://github.com/IBM/simulai)

[

  * higher 
  * ![](/assets/images/logo-github.svg)
  *   * 
higher is a library which facilitates the implementation of arbitrarily
complex gradient-based meta-learning algorithms and nested optimisation loops
with near-vanilla PyTorch.  ](https://github.com/facebookresearch/higher)

[

  * USB 
  * ![](/assets/images/logo-github.svg)
  *   * 
USB is a Pytorch-based Python package for Semi-Supervised Learning (SSL). It
is easy-to-use/extend, affordable to small groups, and comprehensive for
developing and evaluating SSL algorithms.  ](https://usb.readthedocs.io/)

[

  * PyTorch-NLP 
  * ![](/assets/images/logo-github.svg)
  *   * 
Basic Utilities for PyTorch Natural Language Processing (NLP).
](ht