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Thirumalai Kumar photo

thirurjst Goto Github PK

followers: 13.0 following: 35.0 repos: 20.0 gists: 4.0

Name: Thirumalai Kumar

Type: User

Company: Blend

Bio: Deep Learning [email protected]

Location: India

Blog: https://www.linkedin.com/in/thirumalai-kumar-916471183/

Hello World !!!

"If you're worrying on something that you really care about, You don't have to be pushed. The vision pulls you" - Steve Jobs

"Everything that exists in this world has a hidden pattern" - Ramanujam

So I deal with finding this hidden pattern in data. Statistics is my frenemy which guides me in this darkness. Tensorflow and Pytorch are the tools I use to teach my machine. Recently got obsessed with signal data and it's classic viz.

I like to work in team. Love coffee too much hence, Started the career as Java developer. but, now into computer vision and research with python and c++ in my arsenal.

To Connect:

Email: [email protected]

Thirumalai Kumar's Projects

agegendermultitaskmodel

audioclassification

birdclef-2024

clip

cyber

deeplearningexamples

Deep Learning Examples

deformed-yolo

A novel architecture for the purpose of text detection in scenes and videos

donate

This is a simple donation app developed for the welfare of people

efficientdet-pytorch

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models

macaw

melanoma_classification

Melanoma classification using computer vision techniques on SIM-ISIC 2020 dataset

musicemotionanalysis

Webscraper to scrape music from the mentioned website

paperwork_public

phoenix

ML Observability in a Notebook - Uncover Insights, Surface Problems, Monitor, and Fine Tune your Generative LLM, CV and Tabular Models

submarine-surfers

Object detection model to find the center of the gate under water - PROTOTYPE

tensorflow

An Open Source Machine Learning Framework for Everyone

thirurjst

My Personal Repo

whisper

Robust Speech Recognition via Large-Scale Weak Supervision

zania_task

1

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