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  1. SS-BED-Emotion-Classifier SS-BED-Emotion-Classifier Public

    This project implements models for emotion recognition in conversational data, leveraging Sentiment-Specific Word Embeddings (SSWE) and GloVe embeddings. It includes a baseline SS-BED model and an …

    Jupyter Notebook

  2. Transformer-Based-Models Transformer-Based-Models Public

    Jupyter Notebook

  3. DDPM-PyTorch-Implementation DDPM-PyTorch-Implementation Public

    Implementation of a DDPM class using PyTorch on the MNIST dataset to minimize the loss function and generate MNIST images.

    Jupyter Notebook

  4. SimCLR-PyTorch-Implementation SimCLR-PyTorch-Implementation Public

    Implementation of SimCLR for self-supervised learning of visual representations using the STL-10 dataset in PyTorch.

    Jupyter Notebook

  5. Human-Activity-Recognition Human-Activity-Recognition Public

    Human Activity Recognition (HAR) using deep learning techniques, specifically MLP and 1D CNN, to classify six activities based on smartphone accelerometer time series data.

    Jupyter Notebook

  6. Sentiment-Analysis Sentiment-Analysis Public

    Implementation and report of a sentiment analysis project comparing RNNs and Transformer models on the Yelp Polarity dataset, utilizing a BERT-based tokenizer for pre-processing.

    Jupyter Notebook