tfx
There are 1 repository under tfx topic.
- Production-Level-Deep-Learning
alirezadir / Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
PipelineAI / pipeline
PipelineAI
Language:Jsonnet 4161GoogleCloudPlatform / mlops-with-vertex-ai
An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
Language:Jupyter Notebook 332- auto-tensorflow
rafiqhasan / auto-tensorflow
Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/
Language:Python 180 tensorflow / tfx-addons
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
Language:Jupyter Notebook 123- semantic-segmentation-ml-pipeline
deep-diver / semantic-segmentation-ml-pipeline
Machine Learning Pipeline for Semantic Segmentation with TensorFlow Extended (TFX) and various GCP products
Language:Jupyter Notebook 89 - bert-as-a-service_TFX
dimitreOliveira / bert-as-a-service_TFX
End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.
Language:Jupyter Notebook 43 google / nitroml
NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.
Language:Jupyter Notebook 41sayakpaul / Dual-Deployments-on-Vertex-AI
Project demonstrating dual model deployment scenarios using Vertex AI (GCP).
Language:Jupyter Notebook 34ashishpatel26 / Awesome-MLOps-Course-Outline
Awesome MLOps Course Outline
https://blog.tensorflow.org/2021/12/continuous-adaptation-for-machine.html
Language:Jupyter Notebook 28zhulingchen / Machine-Learning-Engineering-for-Production-MLOps-Specialization
Assignments of "Machine Learning Engineering for Production (MLOps) Specialization" by Coursera (https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)
Language:Jupyter Notebook 27valeriano-manassero / tfx-kubeflow-pipelines
Kubeflow pipelines built on top of Tensorflow TFX library
Language:Jupyter Notebook 21ksalama / tfx-workshop
Machine Learning with TensorFlow Extended (TFX) Pipelines
Language:Jupyter Notebook 13ntakouris / fluent-tfx
A fluent API layer for tensorflow extended e2e machine learning pipelines
Language:Python 12- Language:Python 10
altanai / TFX
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.
Language:JavaScript 9iht / vertex-tfx-pipeline
An example of TFX intended to work with Vertex AI in Google Cloud
Language:Python 7hypnosapos / yellow-pachyderm
Using pachyderm as pipeline engine to serve "taxi chicago" machine learning models
Language:Makefile 3aNdr3W03 / Disaster-Tweets-Classification
Machine Learning Operations - Disaster Tweets Classification
Language:Jupyter Notebook 2Machine Learning Operations - Stroke Disease Detection
Language:Jupyter Notebook 2microcoder-py / example-tfx-pipeline-text-classifier
This is an example of what a TFX pipeline would look like when used for NLP
Language:Python 2ferneutron / tfserving
This repository contains code to train, export and serve a Tensorflow model with TFServing. Additionally, this repository provides the installation and configuration of TFServing through a Docker image.
Language:Python 1hzuhdi / aware
Aware is DeepFake detection solution built on top of different existing pre-trained open source models.
Language:JavaScript 1IAMPathak2702 / Loan_status_prediction
loan status prediction pipeline ran on tfx and airflow
Language:Jupyter Notebook 1martin-fabbri / e2e-ml-pipelines
Building end-to-end production grade machine learning pipelines.
Language:Jupyter Notebook 1A TFX implementation of the paper on transformers, Attention is All You Need
Language:Python 1omarlahkim / TFX-Pipeline-Plant-Disease-Detection
🌱 Pipeline Implementation using TFX for Plant Disease Detection Model. The Repository includes the keras model code, pipeline implementation for local Deployment & Airflow Noteebooks, a Minimalistic Client for testing the model after Serving it (TFX Serving REST-API), and a Simple Proxy Server.
Language:Python 1Subrahmanyajoshi / TFX-Pipelines-on-Google-Cloud
This repository shows how to create and deploy TFX (TensorFlow Extended) pipelines on Google Cloud Platform.
Language:Jupyter Notebook 1T-Sumida / tfx_image_classify
A sample program for image classification model using TFX.
Language:Python 1ivancasenda / semantic-search
This project performs a semantic search on Stackoverflow datasets. It uses MiniLM Sentence Transformers Model to generate the embedding and Vertex AI Vector Search to index and query the embeddings. The index is periodically updated using TFX pipeline.
Language:Jupyter Notebook 0Juwono136 / disaster-tweet-detection-mlops
End-to-end machine learning project to detect tweet is a disaster or not disaster + monitoring model serving using Prometheus and Grafana
Language:Jupyter Notebook 0srikresna / orchestrate-restaurant-review
Restaurant review classification using TFX as pipeline. Deployed with TF-Serving and monitored using Prometheus and Grafana
Language:Jupyter Notebook 0Customer churn prediction using TFX as pipeline. Deployed with TF-Serving and monitored using Prometheus and Grafana
Language:PureBasic 0AMfeta99 / MLOPs_Specialization
Machine Learning Engineering for Production (MLOps) Specialization
Language:Jupyter Notebookizam-mohammed / MLOps-Blueprints
My practices in mlops tools 🥵. Feel free to explore the various scripts and files ⚙️. I am just diving into the world of production-ready Machine Learning with streamlined workflows. 🤖
Language:Jupyter Notebook
