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1. Dialog-Summarization-with-Generative-AI Dialog-Summarization-with-Generative-AI Public

   Using Open-Source LLMs like FLAN-T5, built a Dialog Summarization model and did fine-tuning with DialogSum HF Dataset

   Jupyter Notebook 1

2. fantasy-sports-prediction fantasy-sports-prediction Public

   We have used our skill of machine learning along with our passion for cricket to predict the performance of players in the upcoming matches using ML Algorithms like random-forest and XG Boost

   Python 40 11

3. English-Hindi-Transliteration-using-Deep-Learning English-Hindi-Transliteration-using-Deep-Learning Public

   Sequence to sequence language modelling using encoder decoder architecture with RNNs, LSTMs , GRUs and Transformers

   Jupyter Notebook 1

4. Stock-Analysis-using-Machine-Learning Stock-Analysis-using-Machine-Learning Public

   Using various ML tools, We analyzed the Stock Data of various companies and used the analysis along with ML algorithms like LInear Regression and KNN Regressor to predict future Prices.

   Jupyter Notebook 1 1

5. Image-Classification-with-CNNs Image-Classification-with-CNNs Public

   Jupyter Notebook

6. Avoiding-duplicate-question-in-Quora Avoiding-duplicate-question-in-Quora Public

   This model will help match similarity amoung questions. You may filter questions which are same or already exist.

   Jupyter Notebook