Name: Sandeep Menon
Type: User
Company: NYU Courant
Bio: MS CS @ NYU Courant. Deep Learning at Kodiak Robotics. Passionate about people-reaching tech, deep learning, computer vision, and the cloud
Twitter: menonsandu
Location: New York
Blog: https://sandeepnmenon.github.io/
Sandeep Menon's Projects
Clap switch circuit designed in multsim controlling 4 devices. The name 16 way , because there are 16 different configurations of the states of the 4 devices(on/off).
RL Agent to produce sounds using the famous Pink Trombone
Download all manga pages from readshingekinokyojin.com
:books: List of awesome university courses for learning Computer Science!
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Download all Bhavcopy data from NSE over required time interval
Bring your own RAG
C compiler designed using LEX and YACC tools
Lane detection and classification in an end-to-end Deep Learning fashion
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Competitive programming practice and Online programming contest participation
Sixth Semester Computer Graphics Lab Assignments
Computer Vision Course (CO462) at NITK Surathkal by Hiranmay Ghosh
Website for foldschool
Assignments of Deep Learning Specialization course in coursera
Implementation of the Dijkstra's algorithm using binary, binomial and Fibonacci heaps
Training Very Deep Neural Networks Without Skip-Connections
Docker container with CamOdoCal camera calibration software
Efficient Methods for 3D Deep Learning
Benchmarking different FlashAttention and FlashAttention-v2 implementations
Flower - A Friendly Federated Learning Framework
Research paper implementations of different GAN models
Assignments and learnings from the NYU course: Graphics Processing Units (GPUs): Architecture and Programming
Official Repository for Hacktoberfest 2k17 NITK Edition meetup conducted at NITK Surathkal in collaboration with Team Engineer. Credits to @jenkoian for the Hacktoberfest Checker @rohitvarkey for the PDF for Tuesday's talk!
Code apapted from https://github.com/ethz-asl/hand_eye_calibration/blob/master/LICENSE to run as a python package without ROS or Catkin