PyTorch VAE
A collection of 18+ VAE implementations in PyTorch Lightning
AntixKAntixK
anandkrishak
anandkrish894@gmail.com
ResumeI am a Machine Learning Engineer with 5 years of experience developing ML/DL models as well as conducting research on deep neural networks. I love working closely with hardware - developing DL models that are performant on the designated hardware and being Bayesian about it. I was a MEXT scholar during my Master's in JAIST, Japan, where my research was on spectral normalization for deep neural networks. Previously, I worked on embedded systems and signal processing. For one for my then projects, I had to learn statistical signal processing, which segued into my current interest in Machine Learning. Over the course of my professional career, I have been successful in applying Deep Learning for industrial anomaly detection, 3D PointCloud processing, Sim2Real, and multi-task learning.
Bodygram, TokyoNov 2023 - Present | Machine Learning EngineerDeveloping Deep-Learning solutions for accurate human body measurement and understanding. |
DeepX Inc, TokyoFeb 2022 - Nov 2023 | Senior Computer Vision EngineerDeveloped Deep-Learning solutions for automating heavy construction vehicles like excavators and trucks. Worked predominantly on 3D computer vision, and point-clouds. Tasks include object detection, segmentation, tracking, and Sim2Real. |
NABLAS Inc, TokyoOct 2019 - Jan 2022 | Research Engineer Built DL solutions for industrial anomaly detection with real-world constraints. |
RIKEN AIP, TokyoFeb 2019 - May 2019 | Visiting ResearcherWorked predominantly on Gaussian Processes - a variational technique for scaling them to a magnitude more data points. |
IIT Madras, IndiaJun 2015 - Feb 2017 | Project Associate Main focus was on signal processing - giving lectures and tutorials on the ADSP-BF609 DSP chip. |
Japan Advanced Institute of Science and Technology (JAIST) 北陸先端科学技術大学院大学, Japan Oct 2017 - Dec 2019 | Master's Degree in Informatics Outstanding Student Award 2019 |
SRM University, India Apr 2012 - Apr 2015 | Bachelor's Degree in Mechatronics CGPA - 8.9/10. Thesis: Autonomous robot swarm search using Alpha-Beta coordination. Link |
A collection of 18+ VAE implementations in PyTorch Lightning
A scalable way to compare the layer representations of neural networks
A plug-and-play alternative for Batch Normalization with fewer parameters for DNNs
Autonomous Robot Swarm for Searching using Alpha Beta Coordination
A collection of my notes on Machine Learning as a book
A minimalist app for designing spline curves
Subramanian, Anand Krishnamoorthy, and Chong, Nak Young. "Mean Spectral Normalization of Deep Neural Networks for Embedded Automation." 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE). IEEE, 2019. DOI: 10.1109/CASE.2019.8842955
Subramanian, Anand Krishnamoorthy, and Girish Kumar. "Estimation of Optimum Robot Heading Using Savitzky-Golay and Kalman Filters." International Journal of Robotics and Automation. 1.2 (2016): 01-09. DOI: 10.37628/ijra.v1i2.25