OpenAI-CLIP
emotion-classifier
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 | - |
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
- Simple Implementation of OpenAI Clip (Tutorial)
- Simple Implementation of OpenAI CLIP model in PyTorch
- [P] Simple Implementation of OpenAI's CLIP model in PyTorch: An in-depth tutorial
-
[P] Simple Implementation of OpenAI CLIP model in PyTorch
GitHub repo: https://github.com/moein-shariatnia/OpenAI-CLIP
emotion-classifier
What are some alternatives?
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