sparshgarg23's starred repositories
LeetCode-Solutions
🏋️ Python / Modern C++ Solutions of All 3221 LeetCode Problems (Weekly Update)
LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
HackingNeuralNetworks
A small course on exploiting and defending neural networks
pytorch-openpose
pytorch implementation of openpose including Hand and Body Pose Estimation.
CameraTraps
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
Human-Activity-Recognition-using-CNN
Convolutional Neural Network for Human Activity Recognition in Tensorflow
mav_voxblox_planning
MAV planning tools using voxblox as the map representation.
cvml_project
Projects and application using computer vision and machine learning
motion-planners
Python implementations of several robotic motion planners
EECS-498-007-598-005-solutions
EECS 498-007 / 598-005 Deep Learning for Computer Vision
Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
pyOptimalMotionPlanning
Optimal Motion Planning package in Python
practice_motion_planning
Coding: ①Path planning: RRT*, A*; ② Tracking: Optimization, PurePursuit, FollowLine. ③Planning and control on a mobile manipulator
ME149_Spring2018
Optimal Control for Robotics -- Tufts University -- ME 149 -- Spring 2018
make-lstm-great-again
Donald Trump's tweets generator
Vehicle-Detection
I implemented Vehicle Detection and Tracking algorithm using HOG, SVM, and Kalman filter. This is Udacity Self-Driving CarND Term 1 Project 5: Video for vehicle detection and tracking.
unredact-mueller-report-using-BERT
unredact mueller report using BERT
drivable_area_detection
Free (drivable) space identification for self-driving cars using stereo vision.
Stand-Alone-Axial-Attention
Pytorch implementation of Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
DeepLearningDroneSimulator
This project is about training a deep neural network to identify and track a target in simulation so-called “follow me”. Applications like this are key to many fields of robotics and the very same techniques you apply here can be extended to scenarios like advanced cruise control in autonomous vehicles or human-robot collaboration in industry.
Acrobot_Derivation_Matlab
Derivation of the equations of motion and simulation for the acrobot, an under-actuated double pendulum robot.
DroneMotionPlanning
Motion Planning Project for a drone through 3D environments
RoboND-Rover-Project
Implementation of the Search and Sample Return Project for the Udacity Robotics Nanodegree