A guideline for building practical production-level deep learning systems to be deployed in real world applications.
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Updated
Nov 17, 2023
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
PipelineAI
An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/
Developers helping developers. TFX-Addons is a collection of community projects to build new components, examples, libraries, and tools for TFX. The projects are organized under the auspices of the special interest group, SIG TFX-Addons. Join the group at http://goo.gle/tfx-addons-group
Machine Learning Pipeline for Semantic Segmentation with TensorFlow Extended (TFX) and various GCP products
End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.
NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.
Assignments of "Machine Learning Engineering for Production (MLOps) Specialization" by Coursera (https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)
Kubeflow pipelines built on top of Tensorflow TFX library
Machine Learning with TensorFlow Extended (TFX) Pipelines
A fluent API layer for tensorflow extended e2e machine learning pipelines
Code for creating end-end TFX production pipeline for GPT-2.
TangoFX Sessions is a plug and play platform for Internet calling. It not only makes video call over internet but also provides us the ability to use immensely interactive tools with our communication for example features such as creating drawing or writing code together while in a video call.
An example of TFX intended to work with Vertex AI in Google Cloud
Using pachyderm as pipeline engine to serve "taxi chicago" machine learning models
This is an example of what a TFX pipeline would look like when used for NLP
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