electra
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators (by google-research)
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research. (by chiphuyen)
electra | stanford-tensorflow-tutorials | |
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3 | 2 | |
2,296 | 9,845 | |
0.7% | - | |
0.0 | 0.0 | |
about 1 month ago | over 3 years ago | |
Python | Python | |
Apache License 2.0 | 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.
electra
Posts with mentions or reviews of electra.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-27.
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Fine-tuned model consistently producing Precision and Recall scores of 0 from start of training, any suggestions on how to improve?
If this is your own implementation of ELECTRA, hopefully you have previous versions you've demonstrated working, you could revert back to a working version, then apply the changes you made one-by-one. If it's open-source code you are using, such as this one, try and find a working example, run it yourself, carefully modify it, preserve it in a working (high performance) state, change it piece-by-piece until it works on your problem.
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ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators Web Demo
github: https://github.com/google-research/electra
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Help with aligned word embeddings
If you have at least a decent gaming gpu or want to bother with colab, you could get a relevant dataset and use electra https://github.com/google-research/electra
stanford-tensorflow-tutorials
Posts with mentions or reviews of stanford-tensorflow-tutorials.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-01-30.
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Rim Dillon
I’m not sure how to tell you this in a way that won’t deflate your outrage boner, but Stanford uses master in code: https://github.com/chiphuyen/stanford-tensorflow-tutorials
- [D] I'm trying to do more stuff in pure Tensorflow. Is there an in-depth book that explain constructing recurrent, convolutional, graph etc layers in it?
What are some alternatives?
When comparing electra and stanford-tensorflow-tutorials you can also consider the following projects:
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python