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Vehicle_Detection_and_Tracking
Use a Histogram of Oriented Gradients (HOG), Spatial Binning of Color, Histograms of Color, a Linear Support Vector Machine and multi-scale sliding windows for vehicle detection and trackingTraffic_Sign_Classifier
Traffic Sign Classifier using a convolutional neural networkhighway_lanes_detection
Detecting highway lane lines on a video stream with a Hough Transform and a Canny edge detectorEM_LEARNING
EM learning for a mixture of K multivariate Bernoullis with binary imagesModel_Predictive_Control
Using Model Predictive Control to drive a car around the track on the Udacity SimulatorLSTM_RNN_Text_generation
Using the book Anna Karenina by Leo Tolstoy as a training source for text generation using RNN and LSTMNLP_regression
First stage of a biomedical event extractorBehavioral-Cloning
Teach a convolutional neural network (NVIDIA architecture) how to drive using the Udacity self-driving car simulatorPID_controller
Using a PID controller to drive a car around the track on the Udacity SimulatorBoston_housing_prices
Predicting Boston Housing Prices with Decision TreesKidnapped_Vehicle
Using a 2-dimensional Particle Filter to localize a vehicleCNN_CIFAR10
Use a convolutional neural network to classify the dataset CIFAR 10linear_gp_regression
Bayesian linear and Gaussian process regression to predict CO2 concentration as a function of timeExtended_Kalman_Filter
Using a Kalman Filter to estimate the state of a moving object of interest with noisy Lidar and Radar measurementstransfer_learning
Transfer LearningUnscented_Kalman_Filter
Using an Unscented Kalman Filter to estimate the state of a moving object of interest with noisy lidar and radar measurementsLove Open Source and this site? Check out how you can help us