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Name: Adarsh Gouda

Type: User

Massively by HTML5 UP
html5up.net | @ajlkn
Free for personal and commercial use under the CCA 3.0 license (html5up.net/license)


This is Massively, a text-heavy, article-oriented design built around a huge background
image (with a new parallax implementation I'm testing) and scroll effects (powered by
Scrollex). A *slight* departure from all the one-pagers I've been doing lately, but one
that fulfills a few user requests and makes use of some new techniques I've been wanting
to try out. Enjoy it :)

Demo images* courtesy of Unsplash, a radtastic collection of CC0 (public domain) images
you can use for pretty much whatever.

(* = not included)

AJ
[email protected] | @ajlkn


Credits:

	Demo Images:
		Unsplash (unsplash.com)

	Icons:
		Font Awesome (fontawesome.io)

	Other:
		jQuery (jquery.com)
		Scrollex (github.com/ajlkn/jquery.scrollex)
		Responsive Tools (github.com/ajlkn/responsive-tools)

Adarsh Gouda's Projects

physics-based-deep-learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

pinnpapers

Must-read Papers on Physics-Informed Neural Networks.

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pinns-musttryall

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

probabilistic_robotics

solution of exercises of the book "probabilistic robotics"

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

replicating-sutton-tdlearning-1988

rl-lunar-lander

Built a DDQN (double q-learning) agent to solve the Lunar Lander game (environment by OpenAI Gym).

robond-mcl-lab

Monte Carlo Localization Algorithm C++ LAB

robotics-software-engineer

Udacity Robotics Software Engineer Nanodegree

ros-robotics-projects-secondedition

ROS Robotics Projects, published by Packt

rosbook

Example code to accompany the book Programming Robots with ROS

rudrav1

First fully functional ROS WS. 1) IMU 2) Arduino Odometry 3) Base controller and 4) All launch files

sdp_cs6300

Coursework during Software Development Process Fall 2018

slam-2d-lidar-scan

Excellent FastSLAM with 2D Laser Scan Match in Python Environment

steady-state-flow-with-neural-nets

A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation

surface-defect-detection-in-hot-rolled-steel-strips

This project aims to automatically detect surface defects in Hot-Rolled Steel Strips such as rolled-in scale, patches, crazing, pitted surface, inclusion and scratches. A CNN is trained on the NEU Metal Surface Defects Database which contains 1800 grayscale images with 300 samples of each of the six different kinds of surface defects.

adarshgouda Goto Github PK

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