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  1. Contrastive-Learning-Based-Text-Classification Contrastive-Learning-Based-Text-Classification Public

    A Supercharged two-phase transformers based text classification training pipeline with: contrastive pre-training + asymmetric loss. Perfect for imbalanced datasets! 🚀

    Jupyter Notebook

  2. Deep-Learning-Image-Captioning Deep-Learning-Image-Captioning Public

    An end-to-end deep learning solution for automatic image captioning using convolutional neural networks (CNN) as encoders and recurrent neural networks (RNN) as decoders in PyTorch.

    Jupyter Notebook

  3. HelpSteer-ComplexityPrediction HelpSteer-ComplexityPrediction Public

    Predict the complexity of AI-generated responses using a fine-tuned transformer model trained on NVIDIA's HelpSteer dataset using an asymmetric quantile loss function for imbalanced data.

    Jupyter Notebook