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1. SmashRNN SmashRNN Public

   It uses 3-Stage, 3 levels encoder (word_level, sent_level, para_level) to encode the input using GRUs. Further , it uses Siamese network (of MeshRNNs) to learn the similarity between the documents.

   Python 2 1

2. Transformer-Encoder- Transformer-Encoder- Public

   Pytorch implementation of Transformer encoder.

   Python

3. Grammarly-for-Transcriptions Grammarly-for-Transcriptions Public

   This is a grammar corrector for speech-transcriptions, written-transcriptions, (.wav) file's transcriptions.

   Python

4. Alphabet-Inc.-GOOGL-Stock-Prices-using-sklearn Alphabet-Inc.-GOOGL-Stock-Prices-using-sklearn Public

   Python

5. Emotion-Classification Emotion-Classification Public

   The repo uses self-attention and cross-attention over MELD dataset for classifying emotions in a conversation

   Python

6. SentBert_FineTune SentBert_FineTune Public

   An architecture for fine_tuning BERT

   Python