piscab Goto Github PK
Name: Pietro Scabellone
Type: User
Location: Roma, Italy
Pietro Scabellone's Projects
advanced-lane-finding
Identify lane boundaries in a video and display numerical estimation of lane curvature and vehicle position using camera calibration and perspective transform ("birds-eye view").
behavioral-cloning
Clone driving behavior using a deep convolutional neural network (CNN).
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
covid-19
COVID-19 Italia - Monitoraggio situazione
cs228-material
Teaching materials for the probabilistic graphical models class at Stanford
deeplearningfornlpinpytorch
An IPython Notebook tutorial on deep learning, with an emphasis on Natural Language Processing
hackingwithswift
The project source code for hackingwithswift.com
lane-finding
Identify lane lines on the road, from both images and video, using OpenCV.
model-predictive-control
Autonomously drive a car on a track using a kinematic model.
piscab.github.io
piscab's website
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
tl_classifier
Attempt to classifier TL
traffic-sign-classifier
Classify road signs using a deep convolutional neural network.
udacity-driving-reader
Quick docker based reader for udacity rosbag self-driving dataset. Dumps to png/jpg + csv or Tensorflow examples.
vehicle-detection-and-tracking
Draw bounding boxes for detect vehicles in a video using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM).
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