OpenAI-CLIP
Simple implementation of OpenAI CLIP model in PyTorch. (by moein-shariatnia)
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. (by Novetta)
OpenAI-CLIP | adaptnlp | |
---|---|---|
4 | 2 | |
532 | 414 | |
- | 0.0% | |
3.1 | 0.0 | |
about 1 month ago | over 2 years 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.
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.
- 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
adaptnlp
Posts with mentions or reviews of adaptnlp.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Tools to use for Semantic-searching Question Answering System
Check out adaptnlp
-
Case Sensitivity using HuggingFace & Google's T5 model (base)
Yes, there are capitals in the tokenizer vocabulary of t5-base and t5-small, so both support capitalization. A few days ago I was using t5-small through adaptnlp for extractive summarization and capitalization was working fine (https://github.com/Novetta/adaptnlp). AdaptNLP is basically just a transformers wrapper, so if you can't figure out a solution, you could just dissect their source code.