Nimish's repositories
FCND-T1-P3-Controls
Udacity FCND python version of control a drone
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
AI_sessions_UKN
Material for AI sessions being held at UKN
UCB_DeepRLBootcamp_2017
Solutions to UCB_Deep RL Boot camp (https://sites.google.com/view/deep-rl-bootcamp/home)
competitive-data-science
SOlutions to course https://www.coursera.org/learn/competitive-data-science
coursera-intro-to-dl
Solutions to Introduction to Deep Learning - https://www.coursera.org/learn/intro-…
bayesian-methods-for-ml
My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)
edX_Penn_Robotics
Solutions to Penn Robotics Specialization on edX
stanford_cs231n
Solutions to CS231n Spring 2017
coursera-aml-docker
Docker container with Jupyter Environment for Coursera "Advanced Machine Learning" specialization.
self-driving-car-capstone
The capstone project for Udacity's self-driving car program
image-segmentation-fcn
Semantic Image Segmentation using a Fully Convolutional Neural Network
lectures
Oxford Deep NLP 2017 course