Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.
It is a document automation platform and suite that empowers users to cut document prep time in half by automatically converting existing documents to standardized smart-templates. | It is a library for compiling trained traditional ML models into tensor computations. It allows users to seamlessly leverage neural network frameworks (such as PyTorch) to accelerate traditional ML models. |
Use artificial intelligence to create your templates; Automatic template conversion; The perfect field combination for any document; Populate multiple templates
on the fly; Complete automation with the Woodpecker API | Current and future optimizations implemented in neural network frameworks; Native hardware acceleration; Convert your trained traditional ML models into PyTorch |
Statistics | |
GitHub Stars - | GitHub Stars 3.5K |
GitHub Forks - | GitHub Forks 286 |
Stacks 11 | Stacks 4 |
Followers 15 | Followers 8 |
Votes 0 | Votes 0 |
Integrations | |

It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

Swagger UI is a dependency-free collection of HTML, Javascript, and CSS assets that dynamically generate beautiful documentation and sandbox from a Swagger-compliant API

It takes more than a simple HTML page to thrill your API users. The right tools take weeks of development. Weeks that apiary.io saves.

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.

It is an easy-to-use tool to help you build out documentation! Each documentation site that you publish is a project where there is space for documentation, interactive API reference guides, a changelog, and much more.

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.

Docusaurus is a project for easily building, deploying, and maintaining open source project websites.

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

It hosts documentation, making it fully searchable and easy to find. You can import your docs using any major version control system, including Mercurial, Git, Subversion, and Bazaar.