Pinned Repositories
blackrock_challenge-uga-hacks5
Interactive Investment Portfolio for targeted audiences
classification_microservice
Image classifier Microservice using Flask framework
determining-top-predictors-hitters-dataset
LASSO, elastic net, Adaptive LASSO, SCAD methods for determining top predictors for each method
generate-saliency-maps-ground-truth
Generate saliency maps for log scanned images
Image-Segmentation-UNet
Implementation of U-Net using Keras and tensorflow for Image Segmentation
machine-learning-for-trading
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
metrics-server-setup-kubernetes
This repository contains setup instruction for Kubernetes and metrics server. Mainly this repository focuses to subdue the metrics server error which is to resolve Issue #583
wgan-gp-transformer
Implementation of our paper "Wasserstein Adversarial Transformer for Cloud Workload Prediction"
shivaniarbat's Repositories
shivaniarbat/wgan-gp-transformer
Implementation of our paper "Wasserstein Adversarial Transformer for Cloud Workload Prediction"
shivaniarbat/generate-saliency-maps-ground-truth
Generate saliency maps for log scanned images
shivaniarbat/blackrock_challenge-uga-hacks5
Interactive Investment Portfolio for targeted audiences
shivaniarbat/machine-learning-for-trading
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
shivaniarbat/classification_microservice
Image classifier Microservice using Flask framework
shivaniarbat/determining-top-predictors-hitters-dataset
LASSO, elastic net, Adaptive LASSO, SCAD methods for determining top predictors for each method
shivaniarbat/metrics-server-setup-kubernetes
This repository contains setup instruction for Kubernetes and metrics server. Mainly this repository focuses to subdue the metrics server error which is to resolve Issue #583
shivaniarbat/ai-platform-samples
Official Repo for Google Cloud AI Platform. Find samples for Vertex AI, Google Cloud's new unified ML platform at: https://github.com/GoogleCloudPlatform/vertex-ai-samples
shivaniarbat/AI4DL
AI4DL - DL containter auto-scaling mechanism (BSC and IBM)
shivaniarbat/Algorithms
A collection of algorithms and data structures
shivaniarbat/arcade
Easy to use Python library for creating 2D arcade games.
shivaniarbat/AST
Adversarial Sparse Transformer for Time Series Forecasting
shivaniarbat/coronavirus-diary
Ethically sourcing data for the fight against disease.
shivaniarbat/data-science
:bar_chart: Path to a free self-taught education in Data Science!
shivaniarbat/golang-basics
This repository is for learning basics in golang language
shivaniarbat/image-classifier-nginx-flask
shivaniarbat/info8010-deep-learning
Lectures for INFO8010 - Deep Learning, ULiège
shivaniarbat/intro-to-react-challenge
shivaniarbat/IRIS-dataset-classification
:books: Multi-class classification in IRIS dataset using Deep Neural Network
shivaniarbat/kubernetes-the-hard-way
Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.
shivaniarbat/leet-code-recursive-solutions
This repository contains recursive solutions of the named algorithms
shivaniarbat/lessons
📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!
shivaniarbat/Machine-Learning-Links-And-Lessons-Learned
List of all the lessons learned, best practices, and links from my time studying machine learning
shivaniarbat/Metrics
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
shivaniarbat/open-free-deep-learning-ml-courses
This repository have all the links available to open free courses online
shivaniarbat/pytorch-101
This repository have beginner lessons for pytorch
shivaniarbat/sample-flask-ngnix
boilerplate for flask app to deploy as a service
shivaniarbat/serve
Model Serving on PyTorch
shivaniarbat/shivaniarbat
Know about Shivani Arbat
shivaniarbat/telco-customer-churn-logistic-regression-in-R
Analyze Telco customer data using logistic regression who are likely to leave the service