Pinned Repositories
Collision-Prediction-and-Fault-Detection-using-Markov-Chain
cuda-image-grayscale
converting a RGB image to a grayscale mage using cuda
DL-GPU-Electrostatic-Sieve
Deep-Learning Model for Optimization of an Electrostatic Sieve for Lunar Regolith Beneficiation.
Gaussian-Blur-CUDA
Implementation and analysis of Gaussian Blur in CUDA
Gaussian-Blur-Shared
ECE 8780 Hackathon 2
Graph-Scene-Representation-and-Prediction
Hidden-Markov-Models
A localization system that can track the activities of the tiger agents in a zoo using Hidden Markov Models.
Image-Processing
A complete C++ application to efficiently view and manipulate images
Multi-Agent-Navigation
- Social Force Model
Play-Connect-Four-vs-AI
Connect Four (also known as Four Up, Plot Four, Find Four, Four in a Row, Four in a Line, Drop Four, and Gravitrips in the Soviet Union) is a two-player connection board game, in which the players choose a color and then take turns dropping colored discs into a seven-column, six-row vertically suspended grid. The pieces fall straight down, occupying the lowest available space within the column. The objective of the game is to be the first to form a horizontal, vertical, or diagonal line of four of one's own discs.
Kalpit-Vadnerkar's Repositories
Kalpit-Vadnerkar/Multi-Agent-Navigation
- Social Force Model
Kalpit-Vadnerkar/Play-Connect-Four-vs-AI
Connect Four (also known as Four Up, Plot Four, Find Four, Four in a Row, Four in a Line, Drop Four, and Gravitrips in the Soviet Union) is a two-player connection board game, in which the players choose a color and then take turns dropping colored discs into a seven-column, six-row vertically suspended grid. The pieces fall straight down, occupying the lowest available space within the column. The objective of the game is to be the first to form a horizontal, vertical, or diagonal line of four of one's own discs.
Kalpit-Vadnerkar/Collision-Prediction-and-Fault-Detection-using-Markov-Chain
Kalpit-Vadnerkar/cuda-image-grayscale
converting a RGB image to a grayscale mage using cuda
Kalpit-Vadnerkar/DL-GPU-Electrostatic-Sieve
Deep-Learning Model for Optimization of an Electrostatic Sieve for Lunar Regolith Beneficiation.
Kalpit-Vadnerkar/Gaussian-Blur-CUDA
Implementation and analysis of Gaussian Blur in CUDA
Kalpit-Vadnerkar/Gaussian-Blur-Shared
ECE 8780 Hackathon 2
Kalpit-Vadnerkar/Graph-Scene-Representation-and-Prediction
Kalpit-Vadnerkar/Hidden-Markov-Models
A localization system that can track the activities of the tiger agents in a zoo using Hidden Markov Models.
Kalpit-Vadnerkar/Image-Processing
A complete C++ application to efficiently view and manipulate images
Kalpit-Vadnerkar/Laplacian-PDE-or-Jacobi-Solver-using-CUDA
Laplacian Partial Differential Equations
Kalpit-Vadnerkar/linux-message-logger
Kalpit-Vadnerkar/LSTM-Fault-Detection
LSTM network to predict vehicle state
Kalpit-Vadnerkar/nav-dyna
Implementation of a non-linear vehicle handling model and performing maneuvers for Fault detection
Kalpit-Vadnerkar/Neural-Networks
A Neural Network model to classify digits.
Kalpit-Vadnerkar/Path-Planning-for-Dubins-Car
Rapidly-Exploring Random Tree
Kalpit-Vadnerkar/Probabilistic-Roadmap-Method
Kalpit-Vadnerkar/Regression-and-Perceptron
Implementation of linear regression, logistic regression, and binary perceptron for supervised learning problems.
Kalpit-Vadnerkar/Risk-Assessment
Kalpit-Vadnerkar/RL-Robot-Crawler
A Robot learns to crawl using Reinforcement Learning
Kalpit-Vadnerkar/Searching-In-Grid-World
Interactive implementation of Graph Algorithms like Depth First search, Uniform Cost Search, and A* Search in Python
Kalpit-Vadnerkar/United-States-Wind-Turbine-Visualization
The chosen dataset offers a comprehensive overview of the locations and technical specifications of wind turbines across the United States. Its primary objective is to aid in generating visual insights into the proliferation of wind turbines over the years, mapped onto the US landscape.
Kalpit-Vadnerkar/Voronoi-Diagram-using-Fortune-s-Sweep