This repository contains resources to facilitate research in LiDAR data processing in the context of High Performance Computing and Deep Learning. !!!
Self-driving cars has always been a Wow thing to me. Eventually, I became obsessed with Drones. Recently, I was highly engage in the domain of Deep Learning. I like to define myself as a machine learning practitioner. I see machine learning as a cool tool. I always wanted to make use of machine learning to real world challenge. Finally, I made up my mind to work in LiDAR data processing. I am hoping to explore the domains of Cloud Computing, High Performance Computing and Deep Learning (particularly Geometric Deep Learning)
I am making this repository to as a guide for you and me to explore this crucial research area. I am hoping to keep this repository uptodate with latest cutting edge research topics/papers etc. I highly appreciate your contribution towards this work. Feel free to make suggestions/contributions/pull-requests to this repository to make this work most uptodate.
Stay tuned
This is my first project of this kind, so please, if you have any idea, suggestion or improvement contact me at chmk90@gmail.com.
- Programming knowladge in Python
- Object Oriented Concepts in Java/C++
- Understanding concepts of C programming (Pointers, Memory Management)
- Basic Knowladge in Deep Learning ([MLP, CNN and RNN])(https://www.fast.ai/)
- Understanding in Cloud Computing concepts
- Fundamental skill in programming in HPC (MPI, OpenMPI)
- Spatio-Temporal Databases
- Map-Reduce Programming
- Advanced Data Structures MIT Videos
please refer the [prerequisites] folder