Resources of Data Hack Summit 2019
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Hyperparameter Tuning using Bayesian Optimization by Abhishek Periwal : https://github.com/abhinokha/MLPy/tree/master/Hyperopt
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Image Captioning using attention models by Souradip Chakraborty & Rajesh Sreedhar Bhat : https://github.com/rajesh-bhat/dhs_summit_2019_image_captioning
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Hack NLP Session by Sudalai Rajkumar : https://github.com/SudalaiRajkumar/DHS2019_HackSession_NLP
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Applying Deep Transfer Learning for NLP by Deepanjan Sarkar : https://github.com/dipanjanS/deep_transfer_learning_nlp_dhs2019
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Workshop of Applied Machine Learning by Raghav Bali : https://github.com/raghavbali/appliedml_workshop_dhs_av_2019
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Synthetic Text Data Generation using Recurrent Neural Networks by Raghav Bali : https://github.com/raghavbali/handwritten_text_dhs_av_2019
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Video Encoding & Classification using Tensorflow 2.0 by Axel de Romblay : https://github.com/AxeldeRomblay/DHS2019
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Content Based Recommender System Using Transfer Learning by Sitaram Tadepalli : https://github.com/thedatastreet/CBRS
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Deep Learning in Graph based Recommender Systems by Janu Verma : https://github.com/januverma/Graph-Embeddings-Recommendations-DHS2019
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Deep Learning for search in E-Commerce by Atul Agarwal, Sonu Sharma : https://github.com/ercsonusharma/DHS-2019 https://towardsdatascience.com/e-commerce-search-re-ranking-as-a-reinforcement-learning-problem-a9d1561edbd0
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Haptic Learning : Inferring Anatomical Features using Deep Networks by Akshay Bahadur : https://github.com/akshaybahadur21/DHS-2019
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Using Genetic Algorithms to build ML pipelines by Sahil Verma : https://github.com/sahil711/DHS-19
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Graph Convolutional Networks for Semi-Supervised Classification by Samiran Roy : https://github.com/samiranrl/DHS2019_GNN
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Generating Synthetic Images from Textual Description using GANs by Shibsankar Das : https://towardsdatascience.com/generating-synthetic-images-from-textual-description-using-gans-e5963bae0df4
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Workshop on Deep Learning using Keras : https://github.com/kushalnavghare/DataHack-Summit-2019/blob/master/Keras_Workshop_Introduction_To_Deep_Learning_start.ipynb