PyTorch Lightning
Facebook.ai
Swift AI
Talk to Books by Google
TensorFlow
A.I. Experiments by Google
Lobe
Keras
spaCy
Amazon Comprehend
Google Cloud Natural Language API
FuzzyWuzzy
Microsoft Bing Spell Check API
NLTK
OpenNLP
monkeylearn
PyTorch LightningBased on our record, spaCy seems to be a lot more popular than PyTorch Lightning. While we know about 58 links to spaCy, we've tracked only 3 mentions of PyTorch Lightning. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It's very easy to get started, right in your Terminal, no fees! No credit card at all. And there are cloud providers like https://replicate.com/ that will let you use your LLM via an API key just like you did with OpenAI if you need that. You don't need OpenAI - nobody does. - Source: Hacker News / 3 days ago
Https://see.stanford.edu/Course/CS229 Https://lightning.ai/ Https://www.youtube.com/watch?v=00s9ireCnCw&t=57s Https://towardsdatascience.com/. Source: 5 months ago
There is already a ton of momentum around automating ML workflows. I would suggest you contribute to a preexisting project like, for instance, PyTorch Lightning or fast.ai. Source: about 2 years ago
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):. - Source: dev.to / about 1 month ago
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging. Source: 5 months ago
In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy. - Source: dev.to / 6 months ago
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post. The steps... - Source: Hacker News / 8 months ago
I chose spacy. Although it's not state of the art, it's very well established and stable. Source: 10 months ago
Facebook.ai - Everything you need to take AI from research to production
Amazon Comprehend - Discover insights and relationships in text
Swift AI - Artificial intelligence and machine learning library written in Swift.
Google Cloud Natural Language API - Natural language API using Google machine learning
Talk to Books by Google - Browse passages from books using experimental AI
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
