Juan Carlos Kuri Pinto (@jckuri)
  • Stars
    star
    83
  • Global Rank 237,769 (Top 9 %)
  • Followers 76
  • Following 12
  • Registered almost 12 years ago
  • Most used languages
    Python
    27.3 %
    C++
    22.7 %
    Makefile
    13.6 %
    Go
    4.5 %
  • Location 🇪🇨 Ecuador
  • Country Total Rank 52
  • Country Ranking
    Makefile
    3
    C++
    11
    Python
    21
    Go
    26

Top repositories

1

Sensor-Fusion-and-Object-Tracking-2

Sensor-Fusion-and-Object-Tracking-2
Python
8
star
2

30-days-of-udacity-computer-vision

My pledge "30 days of udacity" for the Computer Vision nanodegree.
7
star
3

Control_and_Trajectory_Tracking

Control and Trajectory Tracking for Autonomous Vehicles
Python
7
star
4

line-follower-robot

Line Follower Robot
C++
6
star
5

3-months-of-machine-learning-engineer

My pledge "3 months of Udacity" for the Machine Learning Engineer nanodegree, the AWS DeepRacer scholarship I won.
5
star
6

project-t-shirt

project-t-shirt
Jupyter Notebook
5
star
7

2.5-month-of-intel-edge-ai

My pledge "2.5 months of Udacity" for the Intel Edge AI Scholarship Program: https://www.udacity.com/scholarships/intel-edge-ai-scholarship
4
star
8

People-Counter-App

People Counter App
Jupyter Notebook
4
star
9

4-months-of-udacity-spaic-2

My pledge "4 months of udacity" for the Phase 2 of Secure and Private AI Challenge.
4
star
10

3.5-Months-of-Bertelsmann-Scholarship-Cloud-Track

3‍.5‍-Mo‍nths-of-Bertelsmann-Scholarship-Cloud-Track
3
star
11

BladderDataset

This machine learning system can diagnose 2 acute inflammations of bladder. The medical dataset contains features and diagnoses of 2 diseases of the urinary system: Inflammation of urinary bladder and nephritis of renal pelvis origin. This medical dataset truly needs privacy! Because we cannot divulge the sexually-transmitted diseases of patients. So, what we learned about PySyft and OpenMined is applied in this project. Federated learning will protect the privacy of datasets in each hospital and at the same time, a more robust machine learning model will benefit all hospitals. Why? Because the machine learning model generated in this project is 100% accurate; whereas human doctors can commit mistakes when diagnosing these 2 diseases.
Jupyter Notebook
3
star
12

Scan_Matching_Localization

Scan Matching Localization
C++
2
star
13

Object_Detection_in_an_Urban_Environment_2.0

Jupyter Notebook
2
star
14

Motion_Planning_and_Decision_Making_for_Autonomous_Vehicles

Makefile
2
star
15

SFND_3D_Object_Tracking

Makefile
2
star
16

Object_Detection_in_Urban_Environment

Jupyter Notebook
2
star
17

Scan_Matching_Localization_2

Scan Matching Localization
C++
2
star
18

60daysofudacity

My daily activities for the #60daysofudacity pledge of the Secure and Private AI Scholarship Challenge with Facebook.
2
star
19

2.5-months-of-facebook-pytorch-scholarship

My pledge "2.5 months of Udacity" for the Facebook Pytorch Scholarship: https://www.udacity.com/scholarships/facebook-pytorch-scholarship
1
star
20

Sensor-Fusion-and-Object-Tracking

Python
1
star
21

3D_Object_Detection

Python
1
star
22

edge_cameras

Edge Cameras
Jupyter Notebook
1
star
23

SDCND_PID_Controller

C++
1
star
24

Kidnapped_Vehicle

C++
1
star
25

Computer-Pointer-Controller

Computer Pointer Controller - Intel Edge AI for IoT Developers nanodegree
Python
1
star
26

Heroku_FastAPI

Python
1
star
27

qa

Questions and Answers
Go
1
star
28

SFND_Lidar_Obstacle_Detection

Makefile
1
star
29

Object_Detection_in_Urban_Environment_DATA10

1
star
30

Object_Detection_in_Urban_Environment_DATASET

1
star
31

Smart-Queuing-System

Smart Queuing System - Intel® Edge AI for IoT Developers Nanodegree
Jupyter Notebook
1
star