Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build chatbots on Facebook, Slack, Microsoft Bot Framework, Rocket.Chat, Mattermost, Telegram etc. Rasa's primary purpose is to help you build contextual, layered conversations with lots of back-and-forth. To have a real conversation, you need to have some memory and build on things that were said earlier. Rasa lets you do that in a scalable way.

Rasa - Create chatbots and voice assistants

Stanza is a Python NLP Library for Many Human Languages. It contains support for running various accurate natural language processing tools on 60+ languages and for accessing the Java Stanford CoreNLP software from Python. A new collection of biomedical and clinical English model packages are now available, offering seamless experience for syntactic analysis and named entity recognition (NER) from biomedical literature text and clinical notes.

Stanza - A Python NLP Library for Many Human Languages

Jina is a neural search framework that empowers anyone to build SOTA & scalable deep learning search applications in minutes. It helps to build solutions for indexing, querying, understanding multi-/cross-modal data such as video, image, text, audio, source code, PDF.

Jina - Cloud-native neural search framework for any kind of data

Rubrix is a production-ready Python framework for exploring, annotating, and managing data in NLP projects.
Most annotation tools treat data collection as a one-off activity at the beginning of each project. In real-world projects, data collection is a key activity of the iterative process of ML model development. Once a model goes into production, you want to monitor and analyze its predictions, and collect more data to improve your model over time. Rubrix is designed to close this gap, enabling you to iterate as much as you need.

RUBRIX -  Python framework to explore, label, and monitor data for NLP

AI Tool for querying natural language on tabular data.Built using QA models from transformers.
<BR><BR>
Features: <BR>
<ul>
<li>Supports detection from multiple csvs (csvs can also be read from Amazon s3)</li>
<li>Supports FuzzyString implementation. i.e, incomplete column values in query can be automatically detected and filled in the query.</li>
<li>Supports Databases - SQLite, Postgresql, MySQL, Amazon RDS (Postgresql, MySQL).</li>
<li>Open-Domain, No training required.</li>
<li>Add manual schema for customized experience</li>
<li>Auto-generate schemas in case schema not provided</li>
<li>Data visualisations.</li>
</ul>

AI Tool for querying natural language on tabular data.Built using QA models from transformers.

TableQA - AI Tool for querying natural language on tabular data. 

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Rasa - Create chatbots and voice assistants

Stanza - A Python NLP Library for Many Human Languages

Jina - Cloud-native neural search framework for any kind of data

RUBRIX - Python framework to explore, label, and monitor data for NLP

TableQA - AI Tool for querying natural language on tabular data.

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Projects

Rasa - Create chatbots and voice assistants

Stanza - A Python NLP Library for Many Human Languages

Jina - Cloud-native neural search framework for any kind of data

RUBRIX - Python framework to explore, label, and monitor data for NLP

TableQA - AI Tool for querying natural language on tabular data.

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License