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Hi there šŸ‘‹

Myself Tulasi Ram. People call me as Tulasi.

  • šŸ”­ Iā€™m currently working at Amazon
  • šŸŒ± Iā€™m currently learning tokenizers and Transfer Learning using pretrained Language Models.
  • šŸ‘Æ Iā€™m always open to collaborations.
  • šŸ’¬ Ask me about Speech Recognition, On device Deep Learning.
  • šŸ“« Opensource contributions: tulasi.dev

Tulasi's github stats

Tulasi Ram's Projects

auto-investment icon auto-investment

Automation to track new IPOs in Nepal and add them to my to-do list.

cancer-diagnosis icon cancer-diagnosis

This repository contains Exploratory Data Analysis and diverse machine learning models applied to diagnose cancerous tumors.

craft-pytorch icon craft-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

craft_tflite icon craft_tflite

This is the github repository for converting craft pretrained model to tflite version

d2l-pytorch icon d2l-pytorch

This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

deepform icon deepform

Experimental form data extraction for journalism

docs icon docs

TensorFlow documentation

e2e-tflite-tutorials icon e2e-tflite-tutorials

For project tracking of the Mobile ML WG: E2E TFLite tutorials and sample app ideas etc.

espnet icon espnet

End-to-End Speech Processing Toolkit

fastai icon fastai

The fastai deep learning library, plus lessons and and tutorials

fastai-v3 icon fastai-v3

Starter app for fastai v3 model deployment on Render

hub icon hub

A library for transfer learning by reusing parts of TensorFlow models.

low-level-design icon low-level-design

This repository contains various patterns of Low Level Design and various examples on how we approach a design problem in python

ocr_tflite icon ocr_tflite

This repository is to create tflite models for the available ocr models

parrot icon parrot

RNN-based generative models for speech.

path-to-become-a-data-scientist icon path-to-become-a-data-scientist

The iPython notebook consists of clear path to become data scientist. Data Analysis and Visualizations done on the data set. This was part of Data Strata competition @ Tecnoesis(TECH FEST) of N.I.T. Silchar.

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