Shrey's repositories
time-series
A repository showing example analysis of time series data.
configuration-files-analysis
Misconfiguration detection in configuration files
operate-first-twitter
This repository will be used to publish tweets collaboratively from the Operate First shared Twitter Account.
programming-practice
This repo serializes all my programming practice work
pyro
Deep universal probabilistic programming with Python and PyTorch
jupyterhub-odh
Example JupyterHub deployment using OpenShift OAuth authenticator.
project-template
this is a template to use for new data science projects in the aiops group
categorical-encoding-public
Encoding schemes for nominal categorical variables in an unsupervised setting.
idh-manifests
A repository for Open Data Hub Kustomize manifests extending upstream Kubeflow manifests
prometheus-anomaly-detector
A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detector-legacy)
string_categorical_encoders
Scripts for paper "Encoding high-cardinality string categorical variables"
minima
Minima is a one-size-fits-all Jekyll theme for writers.
insights-core-assets
Front facing core requirements for clients
log-anomaly-detector
Log Anomaly Detection - Machine learning to detect abnormal events logs
story_generator
Data-driven short story generation using skip-thought vectorization to represent sentences in vector space and GRUs to learn the sequence of sentences.
Analysis_Mobile_Application_Comments
Review mining or extracting reviews and information from comments on products is an essential task in understanding user feedback. Aspect and sentiment analysis are useful techniques in comprehending comments on a macro level.
pandas_exercises
Practice your pandas skills!
DS-Career-Resources
Compilation of resources and insights that helped me on my journey to data scientist
neural_project
Sem End Project
tfkaldi
Speech recognition software where the neural net is trained with TensorFlow and GMM training and decoding is done in Kaldi
genquest
Automatic question generation by using NLP
Music_Hit_Prediction_-acoustic_data
This project if for predicting a song will be a hit song or not depending on the acoustic properties of song
pytorch-pretrained-BERT
PyTorch version of Google AI's BERT model with script to load Google's pre-trained models
question_generation
It is a question-generator model. It takes text and an answer as input and outputs a question.
models
Models and examples built with TensorFlow