Name: Skanda Bharadwaj
Type: User
Company: The Pennsylvania State University
Bio: Iām a PhD candidate at the PennState working on Vision and Deep Learning. More details: https://www.skandabharadwaj.com/
Location: State College, PA
Blog: skandabharadwaj.com
Skanda Bharadwaj's Projects
All assignments and quiz for Coursera's "An introduction to interactive programing in python" from RICE university. Includes both Part 1 and 2.
A curated list of awesome computer vision resources
For all those who wanna start learning C here are a few snippets I wrote when I started learning C.
Convolutional Neural Networks Assignments
This is final project for CSE582. Team members: Swati Raghav and Skanda Bharawdaj
Course Project
Collection of papers and other resources for object tracking and detection using deep learning
http://www.appliedprogramming.net/machine-learning/home.html
Implementation of Different Networks
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Faster R-CNN
Understanding Sequential Extreme Learning Machines
Prediction of human activities using Online Sequential Learning from raw signals.
This is the Image Processing course from Duke University by Guillermo Sapiro. I've included all quiz and assignment questions. I don't have my assignments in order. I've taken it from someone else and I really don't remember who that is. Whoever it is - Thanks a lot for keeping it so clean. Intention here is to only help those who are interested to learn.
An Introduction to Computer Vision using OpenCV with Python Bindings
Projects for IST597 Fundamental of Deep Learning
My LeetCode Solutions
Meta-Cognitive system for sequential learning algorithm
I've uploaded a bunch of mini projects that I did back in my 2nd year and 3rd year Engineering. Forgive me for being so naive. I made this docs 3-4 year back and now I've no interest nor time to set thing straight. But this could really help you build up your profile.
Models and examples built with TensorFlow
A simple image reconstruction using motion vectors
The tracker compares exhaustive search and ARPS in terms of computational cost. It also implements a simple linear Kalman filter.
A complete tutorial on using own dataset to train a CNN from scratch in Keras (TF & Theano Backend)-
I'll be working on experiments of Pattern Recognition
Instantaneous Peak Detection Using Neural Nets
C++ Programs (DSA + ADS)