Hack Day - DataHack Summit 2019

Organizing the first-ever Hack Day at #DHS2019

Hack Sessions have been the soul of DataHack Summit in past years. On popular demand, this year we are unveiling a hack day full of live hack sessions (1-hour live hands-on sessions on trending case studies & applications in machine learning, deep learning, reinforcement learning, NLP, more).Get ready for 30+ hack sessions delivered by the best data scientists and grandmasters in the world.

Synthetic Text Data Generation using Recurrent Neural Networks(RNN)

RAGHAV BALI

Content Based Recommender System using Transfer Learning

SITARAM TADEPALLI

Image ATM (Automatic Tagging Machine) – Image Classification for Everyone

DAT TRAN

Finding shortest route for a cab ride using Reinforcement Learning

SAYAN RANU

Automated Portfolio Management using Reinforcement Learning

SONAM SRIVASTAVA

Applying Deep Transfer Learning for NLP

DIPANJAN (DJ) SARKAR

Reinforcement Learning in Real Life – Implementation Guide

HARDIK MEISHERI, RICHA VERMA

Evaluating ML Models for Bias – Build an Interpretable Model using a Financial Dataset

RAJESH K JEYAPAUL

Using Genetic Algorithms to build Machine Learning Pipelines

SAHIL VERMA

State of Transfer Learning in NLP: BERT vs GPT2 vs XLNet

SUDALAI RAJKUMAR (SRK)

Deep Learning for Search in E-Commerce

ATUL AGARWAL, SONU SHARMA

Intent Identification for Indic Languages

KRUPAL MODI

Morphing images using Deep Generative Models (GANs)

XANDER STEENBRUGGE

Demystifying BERT: How to Interpret NLP Models?

LOGESH KUMAR UMAPATHI

Automatic Subtitle Generation using NLP and Deep Learning

PRATEEK JOSHI, MOHD SANAD ZAKI RIZVI

MLOps – Putting ML Models to Production

AKASH TANDON

Creating and Deploying a Pocket Yoga Trainer using Deep Learning

APURVA GUPTA, MOHSIN HASAN

Feature Engineering for Image Data

AISHWARYA SINGH, PULKIT SHARMA

Multi Time Series Seq2Seq LSTM Model in PyTorch

ANKUR VERMA

Top Hacks from a Kaggle Grandmaster

PAVEL PLESKOV

Handling High Velocity Data Streams using Kafka & Spark

DURGA VISWANATHA RAJU, GADIRAJU

Deep Learning in Graph based Recommender Systems

JANU VERMA

Haptic Learning – Inferring Anatomical Features using Deep Networks

AKSHAY BAHADUR

Building an End-to-End Credit Risk Model

ARIHANT JAIN

Federated Learning using Deep Learning

TUHIN SHARMA, BARGAVA SUBRAMANIAN

Graph Convolutional Networks for Semi-Supervised Classification

SAMIRAN ROY

Data Engineering in Action: Working with Data at scale

AMIT PRABHU, RISHABH RAJ

Generating Synthetic Images from Textual Description using GANs

SHIBSANKAR DAS

Hyperparameter optimization using Bayesian Optimization

ABHISHEK PERIWAL

High performance data science using Swift

MOHD SANAD ZAKI RIZVI

Deploy DL models in production using PyTorch

VISHNU SUBRAMANIAN

All You Need to Know about Deploying DL Models using Tensorflow Serving

TATA GANESH

Exploring PyTorch for AI Assistance in Medical Imaging

ABHISHEK KUMAR

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