RL based framework to generate optimal data qualityremediation sequence for machine learning
Towards Automated Deep Learning:Analysis of the AutoDL challenge series 2019
Deep Reinforcement Learning Agent for Navigator Environment
Policy based RL methods for Lunar lander and Cartpole environments.
TD methods like SARSA(0), SARSAMax and Expected SARSA.
MC method for BlackJack environment.
Recognizing the facial emotions with Deep learning model trained on PyTorch and deployed with TF.js model converted with ONNX.
Web Application for Diagnosis of Pnuemonia with deep learning model trained and backed with PyTorch framework.
Stock Prediction with CNN and Neural Arithmetic Logic Units.
Character level language model of RNN(LSTM) in PyTorch.