simpleT5
simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models. (by Shivanandroy)
KeyPhraseTransformer
KeyPhraseTransformer lets you quickly extract key phrases, topics, themes from your text data with T5 transformer | Keyphrase extraction | Keyword extraction (by Shivanandroy)
simpleT5 | KeyPhraseTransformer | |
---|---|---|
2 | 1 | |
381 | 90 | |
- | - | |
2.5 | 0.0 | |
12 months ago | almost 2 years ago | |
Python | Python | |
MIT License | 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.
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.
simpleT5
Posts with mentions or reviews of simpleT5.
We have used some of these posts to build our list of alternatives
and similar projects.
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Transformers: How to compare performance to base model?
Currently I just took ~42000 samples and trained a translation task directly on codeT5 with https://github.com/Shivanandroy/simpleT5. Validation loss and at least the qualitative results are not to bad. Im now going to try to compare it to the base codeT5-model with the *.loss function as suggested above.
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[P] SimpleT5 : Train T5 models in just 3 lines of code
🌟GitHub: https://github.com/Shivanandroy/simpleT5 🌟Medium: https://snrspeaks.medium.com/simplet5-train-t5-models-in-just-3-lines-of-code-by-shivanand-roy-2021-354df5ae46ba 🌟Colab Notebook: https://colab.research.google.com/drive/1JZ8v9L0w0Ai3WbibTeuvYlytn0uHMP6O?usp=sharing
KeyPhraseTransformer
Posts with mentions or reviews of KeyPhraseTransformer.
We have used some of these posts to build our list of alternatives
and similar projects.
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Am I doing this right? Using a python library inside APIView
I'm trying to use this python ML library and turn it into an APIView for my project.
What are some alternatives?
When comparing simpleT5 and KeyPhraseTransformer you can also consider the following projects:
reformer-pytorch - Reformer, the efficient Transformer, in Pytorch
frame-semantic-transformer - Frame Semantic Parser based on T5 and FrameNet
datatap-python - Focus on Algorithm Design, Not on Data Wrangling
rakun2 - RaKUn 2.0 - A fast keyword detection algorithm
ModelZoo.pytorch - Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟
TencentPretrain - Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
fastT5 - ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.