Pinned Repositories
AI-for-Healthcare-Nanodegree
Learn to build, evaluate, and integrate predictive models that have the power to transform patient outcomes. Begin by classifying and segmenting 2D and 3D medical images to augment diagnosis and then move on to modeling patient outcomes with electronic health records to optimize clinical trial testing decisions. Finally, build an algorithm that uses data collected from wearable devices to estimate the wearer’s pulse rate in the presence of motion.
AI-For-Medicine-Specialization
This repo contains the coursework and Assignments for AI for Medicine Specialization by deeplearning.ai on Coursera
Deep-Neural-Network-Speech-Recognizer
In this repo, I have built a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline.
Image-Captioning-using-Deep-Learning
In this repo I have built an CNN-RNN model which can automatically generate captions from images. I have the Microsoft Common Objects in COntext (MS COCO) dataset to train my network and tested it on novel images.
Machine-Translation-using-seq-2-seq-RNNs
In this repo, I have built a deep neural network that functions as part of an end-to-end machine translation pipeline. This complete pipeline will accept English text as input and return the French translation.
Natural-Language-Processing-Specialization
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
Patient-Selection-for-Diabetes-Drug-Testing
In this repo, I have build a regression model that can predict the estimated hospitalization time for a patient and also provide an uncertainty estimate range for that prediction so that you can rank the predictions based off of the uncertainty range.
Pneumonia-Detection-using-chest-X-Rays
In this repo, I have analyzed 2D medical imaging data from the NIH Chest X-ray Dataset and train a CNN to classify a given chest x-ray for the presence or absence of pneumonia
Recommender-Systems-Using-Python
This repo contains my practice and template code for all kinds of recommender systems using SupriseLib. More complex and hybrid Recommender Systems can build on top of these template codes.
Time-Series-Analysis-and-Forecasting
End To End Tutorial on Time Series Analysis and Forcasting
amanjeetsahu's Repositories
amanjeetsahu/Natural-Language-Processing-Specialization
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
amanjeetsahu/AI-for-Healthcare-Nanodegree
Learn to build, evaluate, and integrate predictive models that have the power to transform patient outcomes. Begin by classifying and segmenting 2D and 3D medical images to augment diagnosis and then move on to modeling patient outcomes with electronic health records to optimize clinical trial testing decisions. Finally, build an algorithm that uses data collected from wearable devices to estimate the wearer’s pulse rate in the presence of motion.
amanjeetsahu/AI-For-Medicine-Specialization
This repo contains the coursework and Assignments for AI for Medicine Specialization by deeplearning.ai on Coursera
amanjeetsahu/Recommender-Systems-Using-Python
This repo contains my practice and template code for all kinds of recommender systems using SupriseLib. More complex and hybrid Recommender Systems can build on top of these template codes.
amanjeetsahu/Generative-Adversarial-Networks-GANs-Specialization
This repo contains my coursework, assignments, Slides and Notes for Generative Adversarial Networks (GANs) Specialization by deeplearning.ai on Coursera
amanjeetsahu/Apache-Spark-Tutorials
This repo contains my learnings and practice notebooks on Spark using PySpark (Python Language API on Spark). All the notebooks in the repo can be used as template code for most of the ML algorithms and can be built upon it for more complex problems.
amanjeetsahu/Python-Search-Spider-Page-Ranker-and-Visualizer
This is a set of programs that emulate some of the functions of a search engine. This program crawls a web site and pulls a series of pages into the database, recording the links between pages. Then It calculates the Page Rank of Each site using PageRank Algorithm and stores it in the Database
amanjeetsahu/The-NLP-Pandect
A comprehensive reference for all topics related to Natural Language Processing
amanjeetsahu/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
amanjeetsahu/Machine-Learning-Engineering-for-Production-MLOps-Specialization
This repo contains my coursework, assignments, and Slides for Machine Learning Engineering for Production (MLOps) Specialization by deeplearning.ai on Coursera
amanjeetsahu/Patient-Selection-for-Diabetes-Drug-Testing
In this repo, I have build a regression model that can predict the estimated hospitalization time for a patient and also provide an uncertainty estimate range for that prediction so that you can rank the predictions based off of the uncertainty range.
amanjeetsahu/Pneumonia-Detection-using-chest-X-Rays
In this repo, I have analyzed 2D medical imaging data from the NIH Chest X-ray Dataset and train a CNN to classify a given chest x-ray for the presence or absence of pneumonia
amanjeetsahu/Chatbot-Using-Deep-Neural-Networks
amanjeetsahu/Image-Captioning-using-Deep-Learning
In this repo I have built an CNN-RNN model which can automatically generate captions from images. I have the Microsoft Common Objects in COntext (MS COCO) dataset to train my network and tested it on novel images.
amanjeetsahu/Motion-Compensated-Pulse-Rate-Estimation
In this repo, I have developed a Pulse Rate Algorithm which estimates pulse rate from the PPG signal and a 3-axis accelerometer and applied the Pulse Rate Algorithm on a Clinical Application and compute more clinically meaningful features and discover healthcare trends.
amanjeetsahu/Predicting-Bike-Sharing-Patterns
Predicting Bike Sharing Patterns using a Deep Neural Network Build from Scratch
amanjeetsahu/Self-Driving-Car-Engineer-Projects
Self-driving cars are transformational technology, on the cutting-edge of robotics, machine learning, and engineering. Learn the skills and techniques used by self-driving car teams at the most advanced technology companies in the world.
amanjeetsahu/amanjeetsahu
Config files for my GitHub profile.
amanjeetsahu/Apache-Spark-using-Scala
This repo contains my learnings and practices Zepplin notebooks on Spark using Scala. All the notebooks in the repo can be used as template code for most of the ML algorithms and can be built upon it for more complex problems.
amanjeetsahu/Data-Analyst-Nanodegree
This repo contains my coursework and Projects for the Data Analyst Nanodegree by Udacity
amanjeetsahu/Data-Lake-on-S3-using-Spark
In this repo, I have build an ETL pipeline for a data lake hosted on S3.
amanjeetsahu/Data-Pipelines-with-Airflow
In this repo, I have built a end to end data warehouse ETL pipeline using Apache Airflow. I have created my own custom operators to perform tasks such as staging the data, filling the data warehouse, and running checks on the data as the final step.
amanjeetsahu/Data-Structures-and-Algorithms-Practice
amanjeetsahu/Data-Warehouse-using-AWS-S3-and-Redshift
In this repo I have built an ETL pipeline that extracts their data from S3, stages them in Redshift, and transforms data into a set of dimensional tables for their analytics team to continue finding insights.
amanjeetsahu/examples
Examples to showcase the use of Kale in data science pipelines
amanjeetsahu/Generate-TV-Scripts
amanjeetsahu/Landmark-Detection-And-Tracking-SLAM
In this repo, I have implemented SLAM (Simultaneous Localization and Mapping) for a 2 dimensional world. SLAM gives you a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, and other world features. This is an active area of research in the fields of robotics and autonomous systems.
amanjeetsahu/nlp-library
curated collection of papers for the nlp practitioner 📖👩🔬
amanjeetsahu/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
amanjeetsahu/SCAMP
CPU/GPU Implementation of the SCAMP algorithm for computing the matrix profile