Dushyant Rai Tara's Projects
Curated papers, articles & videos on data science & machine learning applied in production, with results.
Automatic Speech Recognition and speaker diarization
Efficiently computes derivatives of numpy code.
:memo: An awesome Data Science repository to learn and apply for real world problems.
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
Reproducible and fast DL & RL.
ChainerRL is a deep reinforcement learning library built on top of Chainer.
Google colab notebooks based on my ongoing research
Practice solutions for programming challenges on hackerrank, Euler project, interviewbit etc.
loading_datasets_online
A paper list of object detection using deep learning.
Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019
This repository contains implementations and illustrative code to accompany DeepMind publications
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
Parkinson's disease is a neurodegenerative, progressive disorder of the central nervous system that affects movement and causes tremors and stiffness. This affects dopamine-producing neurons in the brain and every year, it affects more than 1 million individuals in India.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Contains the material I presented in Data Hack Summit 2019
Video encoding & classification using tensorflow 2.0
Codes used for the hack session in DHS 2019
Image captioning using attention models
Data Science Portfolio
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
Build a model to predict whether a given news article is fake or real.
Application of graph embeddings in recommendation system
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.
HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
Distributed Asynchronous Hyperparameter Optimization in Python
Practical techniques for training interpretable ML models, explaining ML models, and debugging ML models.