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Hi, I am Swamy 👋

I am a machine learning engineer at Meta.

Previously, I was at Arch Systems, Qualcomm, AMD in roles spanning software / applied ML / R&D and chip physical design. I received Ph.D. in Computer Engg from UC San Diego.

Reach me by email or connect on Twitter or LinkedIn!

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Swamy Muddu's Projects

ape_osx icon ape_osx

Updated install scripts for OSX data science stack

coursera-ml icon coursera-ml

Completed assignments from Coursera Machine Learning course - March 2014

decisiontrees icon decisiontrees

Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation

deep-ttf icon deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

dirichlet-process icon dirichlet-process

Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)

dl-setup icon dl-setup

Instructions for setting up the software on your deep learning machine

fasttext icon fasttext

Library for fast text representation and classification.

infinite_ae_cf icon infinite_ae_cf

[ NeurIPS '22 ] ∞-AE model's implementation in JAX. Kernel-only method outperforms complicated SoTA models with a closed-form solution and a single hyper-parameter.

keras-resnet icon keras-resnet

Residual networks implementation using Keras-1.0 functional API

lazysort icon lazysort

A partially and lazily sorted list data structure for Python

lda-c icon lda-c

This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.

lean icon lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)

ml-systems icon ml-systems

papers on large-scale machine learning and systems

nanogpt icon nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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