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aravind-naidu
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An implementation of "Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks"
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset
Source code of The Neural Hawkes Process (NIPS 2017)
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
All codes for results in experiment section
A PyTorch Implementation of Neural Hawkes Process. Redefined.
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, …
Personal portfolio website hosted using GitHub Pages - Version 2
Twitter Sentiment Analysis
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
The fastai book, published as Jupyter Notebooks
This repository contains A-Z techniques of Natural Language Processing to get started in NLP.
Step by step road map to learn and understand Natural Language Processing
A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API
Predicting length of stay for hospital inpatients in NY
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
This repository contains implementations and illustrative code to accompany DeepMind publications
Python Data Science Handbook: full text in Jupyter Notebooks
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.
In this repository, I have developed the entire server-side principal architecture for real-time stock market prediction with Machine Learning. I have used Tensorflow.js for constructing ml model a…
Code for Tensorflow Machine Learning Cookbook
This repository contains the assignments for the Coursera course Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning.
100+ Python challenging programming exercises
Approaching (Almost) Any Machine Learning Problem
Convolutional neural network solution for deep learning from DICOM images