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A toolbox for adversarial robustness research. It contains modules for generating adversarial examples and defending against attacks.
Fast and extensible image augmentation library for different CV tasks like classification, segmentation, object detection and pose estimation.
BoTorch is a library for Bayesian Optimization. It provides a modular, extensible interface for composing Bayesian optimization primitives.
Captum (“comprehension” in Latin) is an open source, extensible library for model interpretability built on PyTorch.
Catalyst helps you write compact, but full-featured deep learning and reinforcement learning pipelines with a few lines of code.
CrypTen is a framework for Privacy Preserving ML. Its goal is to make secure computing techniques accessible to ML practitioners.
ELF is a platform for game research that allows developers to train and test their algorithms in various game environments.
fastai is a library that simplifies training fast and accurate neural nets using modern best practices.
Flair is a very simple framework for state-of-the-art natural language processing (NLP).
Glow is a ML compiler that accelerates the performance of deep learning frameworks on different hardware platforms.
GPyTorch is a Gaussian process library implemented using PyTorch, designed for creating scalable, flexible Gaussian process models.
Horovod is a distributed training library for deep learning frameworks. Horovod aims to make distributed DL fast and easy to use.
Ignite is a high-level library for training neural networks in PyTorch. It helps with writing compact, but full-featured training loops.
Kornia is a differentiable computer vision library that consists of a set of routines and differentiable modules to solve generic CV problems.
ParlAI is a unified platform for sharing, training, and evaluating dialog models across many tasks.
PennyLane is a library for quantum ML, automatic differentiation, and optimization of hybrid quantum-classical computations.
Pyro is a universal probabilistic programming language (PPL) written in Python and supported by PyTorch on the backend.
PySyft is a Python library for encrypted, privacy preserving deep learning.
PyTorch Geometric is a library for deep learning on irregular input data such as graphs, point clouds, and manifolds.
PyTorch Lightning is a Keras-like ML library for PyTorch. It leaves core training and validation logic to you and automates the rest.
skorch is a high-level library for PyTorch that provides full scikit-learn compatibility.
TensorLy is a high level API for tensor methods and deep tensorized neural networks in Python that aims to make tensor learning simple.
TorchBearer is a model fitting library with a series of callbacks and metrics which support advanced visualizations and techniques.
Translate is an open source project based on Facebook's machine translation systems.
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