All Projects → oracle → Cloudtestdrive

oracle / Cloudtestdrive

Licence: upl-1.0

Projects that are alternatives of or similar to Cloudtestdrive

Econml
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Stars: ✭ 1,238 (+1373.81%)
Mutual labels:  jupyter-notebook
Carvana Challenge
My repository for the Carvana Image Masking Challenge
Stars: ✭ 83 (-1.19%)
Mutual labels:  jupyter-notebook
Pylbm
Numerical simulations using flexible Lattice Boltzmann solvers
Stars: ✭ 83 (-1.19%)
Mutual labels:  jupyter-notebook
Platzidata
Stars: ✭ 83 (-1.19%)
Mutual labels:  jupyter-notebook
Deep Knowledge Tracing Plus
It is the DKT+ model implemented in python3 and tensorflow1.2
Stars: ✭ 83 (-1.19%)
Mutual labels:  jupyter-notebook
Torchtexttutorial
A short tutorial for Torchtext, the NLP-specific add-on for Pytorch.
Stars: ✭ 83 (-1.19%)
Mutual labels:  jupyter-notebook
Amazon Sagemaker Script Mode
Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)
Stars: ✭ 82 (-2.38%)
Mutual labels:  jupyter-notebook
Covid19 Data
COVID-19 workflows and datasets.
Stars: ✭ 84 (+0%)
Mutual labels:  jupyter-notebook
Logomaker
Software for the visualization of sequence-function relationships
Stars: ✭ 83 (-1.19%)
Mutual labels:  jupyter-notebook
Islr Python
Stars: ✭ 83 (-1.19%)
Mutual labels:  jupyter-notebook
Deepembeding
图像检索和向量搜索,similarity learning,compare deep metric and deep-hashing applying in image retrieval
Stars: ✭ 83 (-1.19%)
Mutual labels:  jupyter-notebook
Embeddings reproduction
Stars: ✭ 83 (-1.19%)
Mutual labels:  jupyter-notebook
Gancs
Compressed Sensing MRI based on Deep Generative Adversarial Network
Stars: ✭ 83 (-1.19%)
Mutual labels:  jupyter-notebook
Tensorflow Tutorials
TensorFlow Tutorials with YouTube Videos
Stars: ✭ 8,919 (+10517.86%)
Mutual labels:  jupyter-notebook
Ml
Machine learning projects, often on audio datasets
Stars: ✭ 83 (-1.19%)
Mutual labels:  jupyter-notebook
Mlcourse
生命情報の機械学習入門(新学術領域「先進ゲノム支援」中級講習会資料)
Stars: ✭ 83 (-1.19%)
Mutual labels:  jupyter-notebook
Jupyter case studies
Inference case studies in jupyter
Stars: ✭ 83 (-1.19%)
Mutual labels:  jupyter-notebook
Python script Manual
《Python工具代码速查手册》是我们的python培训教材,主要面向数据分析方向。其中包含了python的常用总结性操作,使用jupyter notebook,利用markdown和script结果对常用操作进行总结,包括了使用方式和脚本。之所以使用notebook形式是可以方便大家编辑,方便大家形成自己的总结笔记。当然各位有更好的操作建议也欢迎向我们团队分享~
Stars: ✭ 84 (+0%)
Mutual labels:  jupyter-notebook
Pandas Tutorial
适合初级到中级晋升者,有了体系之后就看熟练度了。
Stars: ✭ 1,250 (+1388.1%)
Mutual labels:  jupyter-notebook
Esda
statistics and classes for exploratory spatial data analysis
Stars: ✭ 83 (-1.19%)
Mutual labels:  jupyter-notebook

Cloud Test Drive Overview page

Introduction

This project contains the lab materials for the Cloud Test Drive events organized in various locations. Participants can experiment through these labs with a series of Oracle Cloud Services.

During this day you will be able to experience the various cloud services hands-on. Below you find the link to all labs already available :

Application Development

  • Getting started with Kubernetes Clusters on OCI A simple lab spinning up a Kubernetes container and deploying a hello-world application
  • Microservices using Autonomous ATP and Managed Containers This lab will cover the complete setup of Developer Cloud, a Kubernetes Cluster and an Autonomous Database, and then build the CI/CD flow to deploy a Node-based microservice onto this infrastructure, starting from a fresh Cloud Free Trial. If you are joining an instructor-led Cloud Test Drive lab, your instructor might ask you to follow this alternative version of the lab.
  • New! GitOps with Oracle Kubernetes Engine (OKE) : learn how to use Oracle managed Kubernetes with the GitOps approach, a new paradigm of implementing Continuous Delivery (CD) for cloud-native applications.

WebLogic Labs

Autonomous Databases

BlockChain

Data Science

Enterprise JavaScript User Interface Development

Low Code Development

Integration

  • Integration Cloud Service - This lab will show you how to set up integration between 2 systems simply using the drag & drop features of Integration Cloud Service. In this exercise we will set up an integration between a RightNow instance and a generic REST service of a mobile Application.
  • APIARY - The objective of this lab is to give you an overview of the APIARY Cloud Platform as an API Developer.
  • API Platform Cloud Service - The objective of this lab is to give you a comprehensive overview of the API Platform Cloud Service as an API Manager.

Prerequisites

The workshop is intended to work with the Oracle Cloud account information handed out to you during the event. You will need the following information to start working on these exercises :

  • Oracle Cloud account username and password
  • Oracle Cloud identity domain
  • Data center/region

Alternatively you can request an Oracle Cloud Free Tier account. To get an account look into here.

License

Copyright (c) 2014, 2020 Oracle and/or its affiliates The Universal Permissive License (UPL), Version 1.0

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].