Pythia logo


Framework for vision and language multimodal research
+ 1

What is Pythia?

A modular framework for supercharging vision and language research built on top of PyTorch.
Pythia is a tool in the Machine Learning Tools category of a tech stack.
Pythia is an open source tool with 3.1K GitHub stars and 397 GitHub forks. Here’s a link to Pythia's open source repository on GitHub

Who uses Pythia?

Pythia Integrations

Python, TensorFlow, PyTorch, Caffe, and Torch are some of the popular tools that integrate with Pythia. Here's a list of all 5 tools that integrate with Pythia.

Why developers like Pythia?

Here’s a list of reasons why companies and developers use Pythia
Top Reasons
Be the first to leave a pro

Pythia's Features

  • Model Zoo
  • Multi-Tasking
  • Datasets: Includes support for various datasets built-in including VQA, VizWiz, TextVQA and VisualDialog
  • Modules: Provides implementations for many commonly used layers in vision and language domain
  • Distributed: Support for distributed training based on DataParallel as well as DistributedDataParallel
  • Unopinionated: Unopinionated about the dataset and model implementations built on top of it
  • Customization: Custom losses, metrics, scheduling, optimizers, tensorboard
  • suits all your custom needs

Pythia Alternatives & Comparisons

What are some alternatives to Pythia?
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
ML Kit
ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.
See all alternatives

Pythia's Followers
5 developers follow Pythia to keep up with related blogs and decisions.
Kevin Keogh
Tamilvanan P
Eugene Oskin
David Aronchick