ganbert-pytorch
multi-label-sentiment-classifier
ganbert-pytorch | multi-label-sentiment-classifier | |
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1 | 1 | |
88 | 17 | |
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0.0 | 1.8 | |
over 2 years ago | about 3 years ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | MIT License |
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ganbert-pytorch
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GAN-BERT to resolve class imbalance; error in the / my code. Any ideas how to resolve this?
I'm sorry to ask such an oddly specific question. I am following Danilo Croce's git page for implementing GAN-BERT with PyTorch & Transformers: Link. The training gets all the way to the end of the first epoch, but before it completes, sends out an error in the last batch (e.g. it occurs on batch 1,275 of 1,275):
multi-label-sentiment-classifier
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Training a Multi-Label Emotion Classifier with Tez and PyTorch to detect +20 different emotions
code: https://github.com/ahmedbesbes/multi-label-sentiment-classifier
What are some alternatives?
stylegan-encoder - StyleGAN Encoder - converts real images to latent space
Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]
detoxify - Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at [email protected].
aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
huggingpics - 🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.
predict-subreddit - NLP model that predicts subreddit based on the title of a post
Pseudo-Labelling - Pseudo Labelling on MNIST dataset in Tensorflow 2.x
Deep-Learning - In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).
browser-ml-inference - Edge Inference in Browser with Transformer NLP model