Here's the ML stack I have been using for my last project:
- Doing NLP with spaCy (https://spacy.io/) as I consider it to be the most production ready framework for NLP
- Annotating datasets with Prodigy (https://prodi.gy/), a paid tool made by the spaCy team
- Deploying the trained spaCy models onto NLP Cloud (https://nlpcloud.io), a service I helped creating
- Use the models through the NLP Cloud API in production and enrich my Django application out of it
Here's the ML stack I have been using for my last project:
- Doing NLP with spaCy (https://spacy.io/) as I consider it to be the most production ready framework for NLP
- Annotating datasets with Prodigy (https://prodi.gy/), a paid tool made by the spaCy team
- Deploying the trained spaCy models onto NLP Cloud (https://nlpcloud.io), a service I helped creating
- Use the models through the NLP Cloud API in production and enrich my Django application out of it