multi-label-sentiment-classifier VS predict-subreddit

Compare multi-label-sentiment-classifier vs predict-subreddit and see what are their differences.

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multi-label-sentiment-classifier predict-subreddit
1 8
17 31
- -
1.8 0.9
about 3 years ago about 1 year ago
Jupyter Notebook 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.

multi-label-sentiment-classifier

Posts with mentions or reviews of multi-label-sentiment-classifier. 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 multi-label-sentiment-classifier and predict-subreddit you can also consider the following projects:

Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

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

ganbert-pytorch - Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

keytotext - Keywords to Sentences

detoxify - Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at [email protected].

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

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

huggingpics - 🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.

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

browser-ml-inference - Edge Inference in Browser with Transformer NLP model

SagemakerHuggingfaceDashboard - This is a solution that demonstrates how to train and deploy a pre-trained Huggingface model on AWS SageMaker and publish an AWS QuickSight Dashboard that visualizes the model performance over the validation dataset and Exploratory Data Analysis for the pre-processed training dataset.