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1. Abstractive-Text-Summarization-using-seq-2-seq-RNN-s Abstractive-Text-Summarization-using-seq-2-seq-RNN-s Public

   Abstractive text summarization done with the help of LSTMs using encoder-decoder model which was able to achieve accuracy of 77.27% on training set and cumulative BLEU-4 score of 0.8800 on test set.

   Jupyter Notebook 10 2

2. Twitter-Sentiment-Analysis-using-Deep-Neural-networks Twitter-Sentiment-Analysis-using-Deep-Neural-networks Public

   Jupyter Notebook 1 2

3. Multilingual-Translation-using-Deep-Neural-Networks Multilingual-Translation-using-Deep-Neural-Networks Public

   The objective of this project is to build a Text Language Translator where the input is a sequence of words & the output is translation of the given sequence in desired language.

4. trading-clans trading-clans Public

   Trading Clans - With this project I mix Paper trading with community experience.

   TypeScript