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Hello šŸ‘‹

I am passionate about machine learning systems, be it data exploration, model algorithmic research, or making the model ready to be served for inference. I am actively seeking job opportunities and welcome any exciting challenges in machine learning that I can contribute to. Feel free to reach out to me via email at psrahul.ml(at)gmail.com.

  • šŸŒ± Iā€™m currently learning about Cloud Based Machine Learning Services.
  • šŸ‘Æ Iā€™m looking to collaborate on Few Shot Learning, Self Supervised Model Training, and Multi-Modal Architectures.

P S Rahul's Projects

camtracking icon camtracking

Contains collection of tasks in Pose estimation and Camera tracking using OpenCV

dcgan icon dcgan

Implementation of DCGAN for face generation

deep-spectral-segmentation icon deep-spectral-segmentation

[CVPR 2022] Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization

fewshotdet icon fewshotdet

This project studies the effect of self supervised detection backbones with few shot models to combat limited labelled data scenarios

kserve-microk8s icon kserve-microk8s

An end to end tutorial to serve machine learning models on a MicroK8s cluster with Kserve Kubernetes Serve(.

lightning_fast_trainer icon lightning_fast_trainer

This repository provides recipes in PyTorch Lightning for task of object classification and detection.

llm-explorer icon llm-explorer

A repository to explore the latest developments in LLMs and run experiments!

priordepth icon priordepth

PriorDepth : Unsupervised Depth Estimation from Sparse Spatial-Temporal Priors

rust-os icon rust-os

Learning Rust by building an OS from scratch

semanticseg icon semanticseg

Semantic Segmentation on The Oxford-IIIT Pet Dataset using U-Net Based Implementation

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