browser-ml-inference VS predict-subreddit

Compare browser-ml-inference vs predict-subreddit and see what are their differences.

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browser-ml-inference predict-subreddit
1 8
294 31
- -
0.0 0.9
over 1 year ago about 1 year ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.

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.

predict-subreddit

Posts with mentions or reviews of predict-subreddit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-27.

What are some alternatives?

When comparing browser-ml-inference and predict-subreddit 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.

is-it-huggable - An image classifier to classify things as huggable or not.

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

keytotext - Keywords to Sentences

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

BERT-for-Mobile - Compares the DistilBERT and MobileBERT architectures for mobile deployments.

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

converse - Conversational text Analysis using various NLP techniques

aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

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