Past Clients
Develop an NLP model for a legal billing software company to answer client questions
Extract from black-boxed models and adversarially attack various architectures using replicated models
Use different unsupervised/clustering models to detect anomalies in high-dimensional sensor data
Experiment on multi-agent reinforcement learning for playing the popular sport, soccer
Apply Computer Vision techniques to improve tiny object detection on measuring roof debris and damage
Post-workout image generation using generative adversarial networks
Predicting driver behavior to improve rider experience in autonomous vehicles using kinematics and LSTMs
