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Rajat Mittal's Projects

ai-traffic-control icon ai-traffic-control

Reinforcement Learning for Traffic Signal Optimization. We significantly reduce travel time compared to existing signal timing methods by training RL agents with omnipresent induction sensor data.

chexzero icon chexzero

This repository contains code to train a self-supervised learning model on chest X-ray images that lack explicit annotations and evaluate this model's performance on pathology-classification tasks.

fast-adversarial-training icon fast-adversarial-training

Training robust models takes a looong time since generating adversaries is so expensive. We design a parallel algorithm for training large robust models using PyTorch C++/MPI and show it runs fast!

hi-ml icon hi-ml

HI-ML toolbox for deep learning for medical imaging and Azure integration

mnist_challenge icon mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

modelsgenesis icon modelsgenesis

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

terminal-live icon terminal-live

Our winning algorithm for the 2020 Terminal Live competition at Harvard-MIT. We won every round in the finals!

trafficsense icon trafficsense

A traffic simulation game! Can you control the traffic lights in a city optimally to beat the traffic? Don't crash the cars!

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