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Narain Pattabhiraman

About Me

Passionate Software Engineer with expertise in Machine Learning, Computer Vision, and MLOps. Dedicated to leveraging technology to solve real-world problems and drive innovation.

Skills

  • Programming Languages: Python, C++, Rust ๐Ÿ ๐Ÿ› ๏ธ
  • Technologies: Deep Learning, Computer Vision, MLOps ๐Ÿ”ญ ๐Ÿค–
  • Tools: AWS Services, PyTorch โ˜๏ธ ๐Ÿงช

Education

  • B.Tech in Mechanical Engineering, Amrita Vishwa Vidyapeetham
  • MS in Computer Engineering (Computer Systems), Arizona State University ๐ŸŽ’

Contact

Narain 's Projects

banshee icon banshee

Deep learning model training and inference recipes

bipnet icon bipnet

[CVPR 2022--Oral, Best paper Finalist] Burst Image Restoration and Enhancement. SOTA for Burst Super-resolution, Low-light Burst Image Enhancement, Burst Image De-noising

blog icon blog

Public repo for HF blog posts

ddp_pytorch icon ddp_pytorch

Simple pytorch code to test distributed data parallel

flexible-yolov5 icon flexible-yolov5

More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam๏ผŒdcn and so on), and tensorrt

ggml icon ggml

Tensor library for machine learning

llm_recipes icon llm_recipes

hacky scripts to preprocess and get llm's to inference

maxim icon maxim

[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.

mean_avg_prec icon mean_avg_prec

Function to calculate mAP for set of detected boxes and annotated boxes.

objdet-models icon objdet-models

An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

ppmp-notes icon ppmp-notes

notes of the popular book programming massively parallel processes.

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