emotion-classifier VS OpenAI-CLIP

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

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emotion-classifier OpenAI-CLIP
1 4
6 520
- -
10.0 3.1
over 1 year ago 18 days 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.

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.

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.

What are some alternatives?

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

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

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

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

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

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