sunnychugh Goto Github PK

arduino-projects

This repo is about object avoidance robot using arduino.

claims_prediction

dotfiles

learning_to_count_using_machine_learning

It involves building a Machine Learning model (e.g. a deep neural network) that processes an image containing elliptical, coloured blobs and correctly counts them amongst clutter in the form of coloured polygons.

ml_pcf

Multilayer perceptron has been implemented using PyTorch framework to compute various optical properties of a photonic crystal fiber (PCF).

notes-crud

object_detection_cv2_tf_dn

repo about using opencv to detect objects,faces,full body using raspberry pi-3 (security camera)

player_and_team_recognition

sdc-p1-finding-lane-lines

This repo is first project for Udacity Self Driving Car Nanodegree. In this project you will learn about finding lane lines on 3 different tracks.

sdc-p10-mpc-model-predictive-control

sdc-p2-traffic-sign-classification

Second project for Udacity Self Driving Car Nanodegree. Its about classifying the test image traffic sign to 1 of the 43 traffic signs on which model was trained. Uses Tensorflow .

sdc-p3-behavioral-cloning

Third project for Udacity Self Driving Car Nanodegree. It about training a deep neural network to drive a car like you!! Uses Keras.

sdc-p4-advanced-lane-lines

Fourth project for Udacity Self Driving Car Nanodegree. It is about forming advanced lane lines on road images and videos.

sdc-p5-vehicle-detection

Fifth project for Udacity Self Driving Car Nanodegree. It is about detecting vehicles on road using test images and videos. This technique can also be extended to detect vehicles in real time.

sdc-p6-extended-kalman-filter

sdc-p7-unscented-kalman-filter

sdc-p8-localizaton

sdc-p9-pid-controller