emotion-classifier VS Transformer-Models-from-Scratch

Compare emotion-classifier vs Transformer-Models-from-Scratch and see what are their differences.

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emotion-classifier Transformer-Models-from-Scratch
1 1
6 62
- -
10.0 0.0
over 1 year ago about 2 years ago
Jupyter Notebook Jupyter Notebook
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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.

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.

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.

What are some alternatives?

When comparing emotion-classifier and Transformer-Models-from-Scratch you can also consider the following projects:

OpenAI-CLIP - Simple implementation of OpenAI CLIP model in PyTorch.

OpenNMT-py - Open Source Neural Machine Translation and (Large) Language Models in PyTorch

fer - Facial Expression Recognition with a deep neural network as a PyPI package

pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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 ).