web-extract-worker VS browser-ml-inference

Compare web-extract-worker vs browser-ml-inference and see what are their differences.

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web-extract-worker browser-ml-inference
1 1
1 294
- -
7.6 0.0
about 1 month ago over 1 year ago
HTML Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

web-extract-worker

Posts with mentions or reviews of web-extract-worker. We have used some of these posts to build our list of alternatives and similar projects.

browser-ml-inference

Posts with mentions or reviews of browser-ml-inference. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing web-extract-worker and browser-ml-inference you can also consider the following projects:

adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

multi-label-sentiment-classifier - How to build a multi-label sentiment classifiers with Tez and PyTorch

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

anime-or-not - NLP model that determines whether a plot is anime enough

predict-subreddit - NLP model that predicts subreddit based on the title of a post

converse - Conversational text Analysis using various NLP techniques

clip-italian - CLIP (Contrastive Languageā€“Image Pre-training) for Italian

nlp - Repository for all things Natural Language Processing