Transformer-Models-from-Scratch
implementing various transformer models for various tasks (by hbchen-one)
emotion-classifier
An attention-based BiLSTM for emotion classification. (by oaarnikoivu)
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| Transformer-Models-from-Scratch | emotion-classifier | |
|---|---|---|
| 1 | 1 | |
| 58 | 6 | |
| - | - | |
| 0.0 | 10.0 | |
| almost 2 years ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
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.
Transformer-Models-from-Scratch
Posts with mentions or reviews of Transformer-Models-from-Scratch.
We have used some of these posts to build our list of alternatives
and similar projects.
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[D] Transformer-Models-from-Scratch
Transformer-Models-from-Scratch
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.
What are some alternatives?
When comparing Transformer-Models-from-Scratch and emotion-classifier you can also consider the following projects:
OpenNMT-py - Open Source Neural Machine Translation and (Large) Language Models in PyTorch
OpenAI-CLIP - Simple implementation of OpenAI CLIP model in PyTorch.
pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
fer - Facial Expression Recognition with a deep neural network as a PyPI package
ganbert-pytorch - Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).