Dhanoop Karunakaran (@dkarunakaran)
github

dkarunakaran

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Top repositories

1

ROS-node-YOLO-v3-tiny

Object detection using YOLO on Jetson txt2
Python
52
star
2

entity_recoginition_deep_learning

Entity recognition using Deep Learning
Python
50
star
3

robocar

Buillt on top of ROS and donkeycar hardware
Jupyter Notebook
49
star
4

facenet_mtcnn_tensorflow_inference_engine

This is a modified and simplified inference engine of davidsandberg's facenet
Python
40
star
5

carnd-mpc-term2-p5

C++
10
star
6

carnd-vehicle-detection-p5

Jupyter Notebook
9
star
7

rviz_docker

To display rviz that runs on the docker container
Dockerfile
8
star
8

scenario_extraction_framework

C++
6
star
9

carnd-pid-control-term2-p3

Implement a PID controller in C++ to maneuver the vehicle around the track in simulator.
C++
5
star
10

carnd-path-planning-term3-p1

C++
4
star
11

kalman_filtering_finance

Jupyter Notebook
4
star
12

dlnd-p2-image-classification

In this project, you'll classify images from the CIFAR-10 dataset.
HTML
3
star
13

carnd-kidnapped-vehicle-term2-p3

C++
2
star
14

scenario_based_falsification

Python
2
star
15

collaborative_filtering

Jupyter Notebook
2
star
16

carnd-behavioral-cloning-p3

This is the third project of the Udacity Selfdriving Car nanodegree.The project is about to train the car to almost go around the track. I have used modified NVIDIA architecture and different data augumentation technique to train the model.
Jupyter Notebook
2
star
17

carnd-traffic-sign-classifier-p2

In this project, I've used deep neural networks and convolutional neural networks to classify traffic signs. then it has been trained and validated a model so it can classify traffic sign images using the German Traffic Sign Dataset.
HTML
2
star
18

carnd-extended-kalman-filter-term2-p1

Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by using Bayesian inference and estimating a joint probability distribution over the variables for each timeframe.
C++
2
star
19

carnd-semantic-segmentation-term3-p2

Python
1
star
20

dlnd-other

Jupyter Notebook
1
star
21

carnd-lanelines-p1

In this project, you will be writing code to identify lane lines on the road, first in an image, and later in a video stream (really just a series of images).
Jupyter Notebook
1
star
22

dlnd-p1-first-nn

Deep learning nano degreee first project
Jupyter Notebook
1
star
23

content_filtering

Jupyter Notebook
1
star
24

carnd-advanced-lane-lines-p4

Jupyter Notebook
1
star
25

askpdf_chatgpt_embeddings

Jupyter Notebook
1
star