anborde Goto Github PK

behavioural-cloning

deep-q-learning

Based on Deepmind's paper titled 'Human-level control through deep reinforcement learning' the model in the repo solves the Mountain-Car problem by applying Deep Q Learning

detecting-lanes

A project to detect driving lanes in image and video with the help of opencv library

detecting-lanes-advanced

digit-classifier-cloudml-engine

A Image Based Classifier Using Google Cloud ML and Mnist Data

extended-kalman-filters

Extended Kalman Filters effectively used to fuse the sensor measurements of LASER and RADAR sensors of a Self Driving Car

fullstack-nanodegree-vm

home-prices

Using Regression with Outliers Removal to Predict Home Prices Based On Various Factors

kidnapped-vehicle-particle-filter

Using particle filter to localise the vehicle based on map measurements and sensor measurments

market-portfolio-optimization

The repository consists of the program which studies data of selected stocks of NIFTY for the period of 6 months and provides the optimized allocation of capital to the stocks

miniflow

A library that demonstrates training of data using stochastic gradient descent method

path-planning

Creating a path trajectory for our Self Driving Car to ride across a busy Highway

pid-controller

semantic-segmentation

stock_market_reinforcement_learning

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

titanic-machine-learning-from-disaster

Solving the infamous machine learning problem about the Titanic accident

traffic-sign-classifier

unscented-kalman-filters

Using Unscented Kalman Filters to Fuse the Measurements Recorded by LIDAR and RADAR sensors of a Self Driving Car