What is Gradio?
It allows you to quickly create customizable UI components around your TensorFlow or PyTorch models, or even arbitrary Python functions. Mix and match components to support any combination of inputs and outputs.
Gradio is a tool in the Machine Learning Tools category of a tech stack.
Gradio is an open source tool with 3.2K GitHub stars and 199 GitHub forks. Here’s a link to Gradio's open source repository on GitHub
TensorFlow, Jupyter, PyTorch, scikit-learn, and Matplotlib are some of the popular tools that integrate with Gradio. Here's a list of all 5 tools that integrate with Gradio.
- Customizable Components
- Multiple Inputs and Outputs
- Sharing Interfaces Publicly & Privacy
Gradio Alternatives & Comparisons
What are some alternatives to Gradio?
See all alternatives
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.
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.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.