Naga Budigam's Projects
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.
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.
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Applied Machine Learning Course
Autocomplete - an adult and kid friendly exercise in creating a predictive program
stopwordgen automatically builds the stop words for a given dataset.
A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.
This repository contains AWS Notes
TensorFlow code and pre-trained models for BERT
Mapping a variable-length sentence to a fixed-length vector using BERT model
https://bnriiitb.github.io/blog/
Build Conversational AI in minutes ā”ļø
Transcribe your videos and translate it into Indic languages.
Conversational AI Chatbot
Solutions to all quiz and all the programming assignments!!!
A collection of course notes and code snippets for the 5-course Deep Learning specialization on Coursera.
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
š„· Cracking the MAANG Interviews | Google & Bloomberg | Algorithms and Data Structures | Tips and Resources
CS224N Assignments solutions
Cracking the Coding Interview 6th Ed. Python Solutions
Cheat Sheets
Data Science Tutorials
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.