singh-sid930 Goto Github PK

.cha-files-cleanup

The programs clean up cha files and calculate the number of various parameters

a_stars_pure_pursuit

Pure Pursuit Way point navigation of Autonomous racing vehicles of 1/10th dimension. As a part of f1/10 autonomous racing course of University of Pennsylvania

apriltag_ros

A ROS wrapper of the AprilTag 3 visual fiducial detector

autonomous_vehicle_hybrid_controller

A hybrid controller for Autonomous Vehicles depending on various use case scnarios

awesome-rl

Reinforcement learning resources curated

awesome-robotics

A list of awesome Robotics resources

cpprobotics

cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

depth_mapping

Mapping framework for depth cameras. Generates a probabilistic map in the local frame of the camera.

epub.js

Enhanced eBooks in the browser.

f110-fall2018-skeletons

Skeleton codes for F110 Fall 2018 course at UPenn

financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python.

flapping-flight-analysis

Study of flapping flight of birds in a wind tunnel under laminar flow. Part of undergrad project of studing the flapping flight mechanism of birds.

gtsam

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

joint_compliance-

joint compliance calculation and minimization for 3 link planar robot

leet_code_solutions

Solutions to the various Leet code problems

leetcode-curation-topical

Tech interview prep list

machine_learning_algorithms

map_reduce_python

A simple map_reduce implementation through python.

models

Models and examples built with TensorFlow

mpc_rrt_star

An RRT* based MPC tracker for static obstacle avoidance and waypoint tracking. As a part of autonomous racing course of University of Pensylvania

planning_and_control

python

All Algorithms implemented in Python

quadrotor_planning_localization_vision_control

Various matlab modules for controlling quadrotors. Performing visual inertial pose estimatino and velocity estimation. Performing sensor data fusion using extended kalman filters.

rlai-exercises

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

self-parking-box-parker-simulation

semantic_mapping

Local semantic mapping using YoloV3 and depth cameras.

semi-active-suspension-

simulink model for semi active suspension system

sid

sdidharth's world