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Hi there šŸ‘‹

  • šŸ”­ Iā€™m Naga, currently working as a Divisional Manager - Data Science at TVS Motor Company.
  • šŸŒ± Iā€™m on a mission to create business impact by leveraging AI!
  • šŸ’¬ Ask me about machine learning, deep learning and reinforcement learning.
  • šŸ“« Reach out to me on LinkedIn http://linkedin.com/in/nagabudigam

Naga Budigam's Projects

3d-pose-baseline icon 3d-pose-baseline

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

algorithms-datastructures icon algorithms-datastructures

This repository contains the implementation of Data Structures - LinkedList, Heaps, Trees and Stacks and several important Algorithms - Searching, Sorting, Recursion, Binary Search Trees, Graph Algorithms, Dynamic Programming from scratch in Java.

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

annoy icon annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

autocomplete icon autocomplete

Autocomplete - an adult and kid friendly exercise in creating a predictive program

autostopwordgen icon autostopwordgen

stopwordgen automatically builds the stop words for a given dataset.

awesome-bert-nlp icon awesome-bert-nlp

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-as-service icon bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

blog icon blog

https://bnriiitb.github.io/blog/

chainlit icon chainlit

Build Conversational AI in minutes āš”ļø

coursera-deep-learning-specialization-1 icon coursera-deep-learning-specialization-1

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

cracking-maang icon cracking-maang

šŸ„· Cracking the MAANG Interviews | Google & Bloomberg | Algorithms and Data Structures | Tips and Resources

data-structures-algorithms-python icon data-structures-algorithms-python

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

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