ML for production - https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops
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Updated
Aug 10, 2021 - Jupyter Notebook
ML for production - https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops
This repository contains assignments done on Emerging topics like contrastive representation learning using SimCLR, Perceiver, Continual Learning, Active Learning, Weak Supervision, MLOps with Vertex AI
Examples for vertex:edge. See: https://github.com/fuzzylabs/vertex-edge
MLOps for ML.NET Sample Project
tensorflow lite converted model of an ai dnn which can be used to detect the presence of fire into uploaded photos
Work code for Urbanbase ML team.
Predicting the salary of a U.S. citizen from census information: An MLDevOps Project for Udacity
Personal project aimed at developing a ML service which resembles a production environment system
Reproducible Machine Learning pipeline that predicts short-term rental prices in New York. Weights & Biases and MLflow are used.
Terraform code, aws scripts and pipeline templates for the AWS-IaC-mlops-pipeline.
En este proyecto se implementan las habilidades de un MLOps Engineer para implementar un sistema de recomendación de películas utilizando aprendizaje automático (machine learning).
Free MLOps course from DataTalks.Club
Use pre-trained models to create binary segmentation masks and retrieve polygon annotation in VGG VIA compatible csv format
Develop a single endpoint to predict the sales of a company
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
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