OpenAI-CLIP VS emotion-classifier

Compare OpenAI-CLIP vs emotion-classifier and see what are their differences.

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OpenAI-CLIP emotion-classifier
4 1
526 6
- -
3.1 10.0
about 1 month ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License -
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.

OpenAI-CLIP

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

emotion-classifier

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

What are some alternatives?

When comparing OpenAI-CLIP and emotion-classifier you can also consider the following projects:

bert-sklearn - a sklearn wrapper for Google's BERT model

fer - Facial Expression Recognition with a deep neural network as a PyPI package

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

Transformer-Models-from-Scratch - implementing various transformer models for various tasks

beir - A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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.

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