aagrimson's Stars
googleapis/python-aiplatform
A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.
ksalama/kubeflow-examples
Examples for Kubeflow and Kubeflow pipelines
google/google-api-javascript-client
Google APIs Client Library for browser JavaScript, aka gapi.
xuw10/kubeflow-tfx-workshop
Hands-on Learning with KubeFlow + Keras/TensorFlow 2.0 + TF Extended (TFX) + Kubernetes + Airflow + Jupyter
jtoy/awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
GoogleCloudPlatform/cloudml-samples
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
ddbourgin/numpy-ml
Machine learning, in numpy
tensorflow/probability
Probabilistic reasoning and statistical analysis in TensorFlow
davified/ml-ci-cd-demo
A demo continuous delivery pipeline for machine learning models
GoogleCloudPlatform/tensorflow-recommendation-wals
An end-to-end solution for website article recommendations based on Google Analytics data. Uses WALS matrix-factorization in TensorFlow, trained on Cloud ML Engine. Recommendations served with App Engine Flex and Cloud Endpoints. Orchestration is performed using Airflow on Cloud Composer. See the solution tutorials at:
GoogleCloudPlatform/tensorflow-lifetime-value
Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.
ageron/handson-ml2
A 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.
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
GoogleCloudPlatform/tf-estimator-tutorials
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
GoogleCloudPlatform/professional-services
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
entron/entity-embedding-rossmann
kubeflow/pipelines
Machine Learning Pipelines for Kubeflow
GoogleCloudPlatform/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
locuslab/TCN
Sequence modeling benchmarks and temporal convolutional networks
bmtgoncalves/RNN
googledatalab/notebooks
Google Cloud Datalab samples and documentation
ClimbsRocks/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
GoogleCloudPlatform/data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
SeldonIO/seldon-core
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
kubeflow/kubeflow
Machine Learning Toolkit for Kubernetes
google/styleguide
Style guides for Google-originated open-source projects
jupyter/docker-stacks
Ready-to-run Docker images containing Jupyter applications
alteryx/featuretools
An open source python library for automated feature engineering