Yaksha SJ's Projects
Autonomous RC car using Raspberry Pi and ANN
Scenarios, tutorials and demos for Autonomous Driving
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.
This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
# Face_detection_in_an_image This project file contains the code in MATLAB for detecting the face in any given Image. It is a very short and crisp code for detecting the face in an image. STEPS TO FOLLOW: 1. Rename the photo you have taken to face.jpg or change the 'face.jpg' in the code to your image name. 2. Before running the code, check if you have computer vision toolbox installed (by typing 'ver' in command window). 3. If not install computer vision toolbox by clicking HOME > add-ons > Get add-ons.
This project file contains the code in MATLAB for detecting the face in any given Image
We will implement the kinematic bicycle model. The model accepts velocity and steering rate inputs and steps through the bicycle kinematic equations. Once the model is implemented, we will provide a set of inputs to drive the bicycle in a given figure trajectory
Lane Lines Detection using Python and OpenCV for self-driving car
Estimate Robot's position using particle filter method. Completed as an assignment for CMSC828K (Robotics and Perception)
We will implement the forward longitudinal vehicle model. The model accepts throttle inputs and steps through the longitudinal dynamic equations. Once implemented, we will be given a set of inputs that drives over a small road slope to test your model.
we will recursively estimate the position of a vehicle along a trajectory using available measurements and a motion model. The vehicle is equipped with a very simple type of LIDAR sensor, which returns range and bearing measurements corresponding to individual landmarks in the environment. The global positions of the landmarks are assumed to be known beforehand. We will also assume known data association, that is, which measurement belongs to which landmark.
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.
Program to drive a Turtle-bot (Differential drive robot) in a polygon shape of user-defined length and number of sides.
My udemy notebooks
Coursera Open Courses from University of Toronto
Tool to moniter social distancing using CCTV feeds, videos. Can be used at public places and workplace.
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
Visual Features - Detection, Description, and Matching. In this, we will practice using the material we have learned to estimate an autonomous vehicle trajectory by images taken with a monocular camera set up on the vehicle
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent