Pinned Repositories
ansible-ecp
automemlimit
Automatically set GOMEMLIMIT to match Linux cgroups(7) memory limit.
azure-sdk-for-python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
certification-releases
certified-operators
Production catalog for Red Hat Certified Operator Bundles
crab
Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).
data-ingestion-framework
Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
demoapp
turbotower
ading1977's Repositories
ading1977/turbotower
ading1977/ansible-ecp
ading1977/automemlimit
Automatically set GOMEMLIMIT to match Linux cgroups(7) memory limit.
ading1977/azure-sdk-for-python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
ading1977/certification-releases
ading1977/certified-operators
Production catalog for Red Hat Certified Operator Bundles
ading1977/data-ingestion-framework
ading1977/Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
ading1977/demoapp
ading1977/dif-example
The project contains a few working examples to leverage Turbonomic Data Ingestion Framework (DIF)
ading1977/filesystemtest
ading1977/flink-training
Apache Flink Training Excercises
ading1977/homebrew-tap
ading1977/jsonschema
Generate JSON Schemas from Go types
ading1977/k8s-autoscaler
ading1977/kubeadm-ha
Kubernetes high availiability deploy based on kubeadm (for v1.6.x/v1.7.x)
ading1977/kubeflow-apps
A repository to host extended examples and tutorials
ading1977/kubernetes
Production-Grade Container Scheduling and Management
ading1977/kubeturbo
ading1977/lemur
ading1977/lightfm
A Python implementation of LightFM, a hybrid recommendation algorithm.
ading1977/net
[mirror] Go supplementary network libraries
ading1977/prometurbo
ading1977/spotlight
Deep recommender models using PyTorch.
ading1977/Surprise
A Python scikit for building and analyzing recommender systems
ading1977/turbo-api
Go API client for Turbonomic
ading1977/turbo-go-sdk
ading1977/turbo-metrics
Metrics and Entity Configurations for Prometurbo
ading1977/turbo-policy
ading1977/Turbo-ScenarioAsCode
The project aims to create different scenarios to test and verify the Turbonomic analysis capability