NipunDewthilina
ML | IoT | Embedded Systems | Networking Enthusiastic @entc-17-fyp-07 This is the FYP organization I am currently working on.
University of MoratuwaKurunegala
NipunDewthilina's Stars
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
xinntao/ESRGAN
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
idealo/image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
rlabbe/filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
m-lundberg/simple-pid
A simple and easy to use PID controller in Python
LinkedInLearning/react-interface-2880067
adafruit/Adafruit_CircuitPython_PCA9685
Adafruit CircuitPython driver for PCA9685 16-channel, 12-bit PWM LED & servo driver chip.
adafruit/Adafruit_CircuitPython_ServoKit
CircuitPython helper library for the PWM/Servo FeatherWing, Shield and Pi HAT kits.
captain-pool/GSOC
Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944
Yeok-c/Stewart_Py
Python implementation of stewart platform
MarginallyClever/Rotary-Stewart-Platform-2-firmware
Firmware for the Rotary Stewart Platform 6-axis motion control system
lccasagrande/Automatic-StewartPlatform
A project to automatically control a Stewart Platform using an IMU sensor, an Arduino and a library in C++ to perform all the Stewart control calculations.
orionrobots/esp8266_video_series
Notes, code and details for my esp8266 videos
magnusoy/Balancing-Platform
The project is about making a regulation loop to balance a ball on a platform. As a result of this, the model is based on a Stewart platform with three degrees of freedom (pitch, roll, heave).
take2rohit/self-balancing-platform
This is a project made under IVLABS for summer 2018
vysakh10/AWS-SageMaker
Build, Train and Deploy a ML model on AWS SageMaker