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Earth
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devops-resources Public
Forked from bregman-arie/devops-resourcesDevOps resources - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP
Groovy UpdatedJun 22, 2025 -
PEDro-AI-evaluator Public
Ai-evaluator of scientific articles from PEDro ( the Physiotherapy Evidence Database)
Apache License 2.0 UpdatedFeb 21, 2025 -
iris-flask-api-in-eb Public
A guided tutorial using Flask API and Sklearn to deploy this solution in AWS elastic Beanstalk
1 UpdatedOct 8, 2023 -
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An app for the real time baby sleep position detector using the power of TensorFlow for real-time predictions with streaming data from Kafka topics, sourced by remote sensors, and presented through…
UpdatedJul 12, 2023 -
Dual-MPU6050-Motion-Sync Public
Forked from T-K-233/Dual-MPU6050-Motion-SyncPython GNU General Public License v3.0 UpdatedJun 13, 2023 -
MyKubeFlowPortfolio Public
Several KubeFlow projects presented step-by-step to make learning easy
Python Apache License 2.0 UpdatedMar 31, 2023 -
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python-causality-handbook Public
Forked from matheusfacure/python-causality-handbookCausal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
Jupyter Notebook MIT License UpdatedNov 19, 2020 -
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eng-practices Public
Forked from google/eng-practicesGoogle's Engineering Practices documentation
Other UpdatedSep 8, 2019 -
handson-ml2 Public
Forked from ageron/handson-ml2A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Jupyter Notebook Apache License 2.0 UpdatedSep 2, 2019 -
amazon-sagemaker-mlops-workshop Public
Forked from awslabs/amazon-sagemaker-mlops-workshopMachine Learning Ops Workshop with SageMaker: lab guides and materials.
Jupyter Notebook MIT No Attribution UpdatedAug 29, 2019 -
diffusion_model_car_fuel Public
Project developed as a dissertation to conclude the Msc - #agent based model that simulate a market composed by autnoumous agents and 3 potential technologies
Python UpdatedApr 6, 2016
