kumar-selvakumaran Goto Github PK

followers: 6.0 following: 7.0 repos: 29.0 gists: 0.0

Name: Kumar Selvakumaran

Type: User

Bio: I'm learning to help machines see and understand the world like and eventually better than we do.

Location: Boston, MA

Hi 👋, I'm Kumar Selvakumaran

I'm Passionate about Computer Vision, Deep Learning and realizing their potentials at different scales.

📖 I'm doing my Masters in Artificial Intelligence at Khoury College of Computer Science, Northeastern University
🔭 I’m currently working on implementing explainable Neural Networks from scratch and compressing them for different environments.
🌱 I’m currently learning C++ for Computer vision and AI
📄 my profile (Resume)

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Kumar Selvakumaran's Projects

16824_object-localization

Homework 2 - Weakly Supervised Object Localization

annotated-yolo

Inspired by the the legendary "The Annotated Transformer" This project aims to build an intuitive implementation of the YOLO model from scratch.

ar_enabled_textbooks

Android apps that host QR marker based AR experiences. Textbooks have QR Codes that host AR experiences to better understand conscepts.

cbir

Extendable and real-time Content Based Image Retrieval

cnn-tutorial

A Computer vision tutorial for aspirants who are just starting out.

computer-vision-interview

Interview questions to ponder related to computer vision.

cpp_exploration

Exploring the different concepts of modern c++.

embeddings_deep_dive

A deep dive into a emeddings.

ensemble-pipeline-for-titanic-ml-competetion

explainable_hardhat_detection

This project implements a mechanism to use EigenCAM for object detection, in a plug-and-play, task-agnostic manner.

hands-on-machine-learning-with-cpp

Hands-On Machine Learning with C++, published by Packt

hello-world

the beginning to many projects

intro_to_cuda_c_cpp_stanford

This is an archive of materials produced for an introductory class on CUDA programming at Stanford University in 2010

kumar-selvakumaran

Home page

learning_ros

Learning Ros

mblbp_kalman_tracking

Implementing Multi-Block Local Binary Pattern and Kalman Filter based tracking from scratch in python and C++

ml_in_cplusplus_journey

Learning C++ for ML

planning

pytorch_training

journey to fluency in PyTorch | current topics (FPNs, Multi-scale inference)

real-time-video-filtering

This project introduces image processing fundamentals and applications along with their implementations in C++ using OpenCV.

slam_camp

learning slam from the slambook2

stepwise-linear-regression-from-scratch

the_sparks_foundation_grip

transformers_for_imbalanced_classification

Benchmarking Different transformers and demonstrating the pros of focal loss on imbalanced classification data

underactuated-robotics-mit6832

The course text for MIT 6.832 (and 6.832x on edX)

video_stylizer_app

this is simple web application that is able to taking and stylize a video of the user's choice. this style will correspond to the style image that is also prompted from the user

vista

Data-driven simulation for training and evaluating full-scale autonomous vehicles.

webcaminnetwork

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite