Pinned Repositories
ADPE2E
Azure Data Platform End-to-End
argoflow
Deploying Kubeflow with Argo CD
Deep-Learning-Deployment-Project
dex
OpenID Connect Identity (OIDC) and OAuth 2.0 Provider with Pluggable Connectors
Dog-Breed-Classifier
Welcome to the Convolutional Neural Networks (CNN) project! In this project, you will learn how to build a pipeline to process real-world, user-supplied images. Given an image of a dog, your algorithm will identify an estimate of the canine’s breed. If supplied an image of a human face, the code will identify the resembling dog breed. Along with exploring state-of-the-art CNN models for classification, you will make important design decisions about the user experience for your app. By completing this lab, you demonstrate your understanding of the challenges involved in piecing together a series of models designed to perform various tasks in a data processing pipeline.
Generate-TV-Scripts
gpushare-scheduler-extender
GPU Sharing Scheduler for Kubernetes Cluster
great_expectations
Always know what to expect from your data.
kserve
Standardized Serverless ML Inference Platform on Kubernetes
Predicting-Bike-Sharing-Data
In this project, you'll get to build a neural network from scratch to carry out a prediction problem on a real dataset! By building a neural network from the ground up, you'll have a much better understanding of gradient descent, backpropagation, and other concepts that are important to know before we move to higher level tools such as PyTorch. You'll also get to see how to apply these networks to solve real prediction problems!
amybachir's Repositories
amybachir/ADPE2E
Azure Data Platform End-to-End
amybachir/argoflow
Deploying Kubeflow with Argo CD
amybachir/gpushare-scheduler-extender
GPU Sharing Scheduler for Kubernetes Cluster
amybachir/Deep-Learning-Deployment-Project
amybachir/dex
OpenID Connect Identity (OIDC) and OAuth 2.0 Provider with Pluggable Connectors
amybachir/Dog-Breed-Classifier
Welcome to the Convolutional Neural Networks (CNN) project! In this project, you will learn how to build a pipeline to process real-world, user-supplied images. Given an image of a dog, your algorithm will identify an estimate of the canine’s breed. If supplied an image of a human face, the code will identify the resembling dog breed. Along with exploring state-of-the-art CNN models for classification, you will make important design decisions about the user experience for your app. By completing this lab, you demonstrate your understanding of the challenges involved in piecing together a series of models designed to perform various tasks in a data processing pipeline.
amybachir/Generate-TV-Scripts
amybachir/great_expectations
Always know what to expect from your data.
amybachir/kserve
Standardized Serverless ML Inference Platform on Kubernetes
amybachir/Predicting-Bike-Sharing-Data
In this project, you'll get to build a neural network from scratch to carry out a prediction problem on a real dataset! By building a neural network from the ground up, you'll have a much better understanding of gradient descent, backpropagation, and other concepts that are important to know before we move to higher level tools such as PyTorch. You'll also get to see how to apply these networks to solve real prediction problems!