suryarasp Goto Github PK

3dpath-planning-algorithms

Path planning in various 3D environments

3dreconstruction

Stereo reconstruction using OpenCV 3.4.4 and python

arduino-pid-library

blog

chefbot

chefbot_ros_pkg

This is ROS package mentioned in the book "Learning Robotics using Python". This package contain drivers, Launch files for working with Chefbot, mentioned on this book|New version of code for ROS Kinetic: https://github.com/PacktPublishing/Learning-Robotics-using-Python-Second-Edition

cloudcompare

CloudCompare main repository

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

d3d-printer-workbench

deap

Distributed Evolutionary Algorithms in Python

deap1

Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)

deep-learning

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deployment-flask

diffbot

DiffBot is an autonomous 2wd differential drive robot using ROS Noetic on a Raspberry Pi 4 B

easyga

EasyGA is a python package designed to provide an easy-to-use Genetic Algorithm. The package is designed to work right out of the box, while also allowing the user to customize features as they see fit.

engcomp4_landlinear

Using computational thinking to get deep insights on the foundations of linear algebra

ga_solving_maze

geneticalgorithmpython

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

hands-on-genetic-algorithms-with-python

Hands-On Genetic Algorithms with Python, Published by Packt

hands-on-ros-for-robotics-programming

Hands-On ROS for Robotics Programming, published by Packt

icpc-notebook

Notebook for INSA Lyon teams at ACM ICPC 2017. Ideas and sources are mainly from Razvan Stancioiu and the Stanford University ACM team.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras-nonlinear-regression

Non Linear Regression example with Keras

learnkeras

The official repository for my course Learn Machine Learning: Everything You Need To Know

librealsense

Intel® RealSense™ SDK

machine_learning_examples

A collection of machine learning examples and tutorials.

mastering-ros-for-robotics-programming-second-edition

Mastering ROS for Robotics Programming - Second-Edition, published by Packt

messenger

Arduino lib git fork

messenger-1

Messenger library for arduino by Thomas Ouellet Fredericks