srmds

srmds's Stars

• wagoodman/dive

  A tool for exploring each layer in a docker image

  Language:Go44.2k3573171.7k

• psf/black

  The uncompromising Python code formatter

  Language:Python37.7k2332.6k2.4k

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust27.2k1537.7k1.7k

• ahmetb/kubectx

  Faster way to switch between clusters and namespaces in kubectl

  Language:Go17.1k1322261.2k

• GoogleContainerTools/skaffold

  Easy and Repeatable Kubernetes Development

  Language:Go14.8k1824.1k1.6k

• rtyley/bfg-repo-cleaner

  Removes large or troublesome blobs like git-filter-branch does, but faster. And written in Scala

  Language:Scala10.8k103420533

• mage-ai/mage-ai

  🧙 Build, run, and manage data pipelines for integrating and transforming data.

  Language:Python7.3k63697666

• martinvonz/jj

  A Git-compatible VCS that is both simple and powerful

  Language:Rust7k50650229

• mmumshad/kubernetes-the-hard-way

  Bootstrap Kubernetes the hard way on Vagrant on Local Machine. No scripts.

  Language:Shell4.4k2291874.3k

• spark-jobserver/spark-jobserver

  REST job server for Apache Spark

  Language:Scala2.8k2218221k

• huggingface/knockknock

  🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

  Language:Python2.8k6541230

• goodwithtech/dockle

  Container Image Linter for Security, Helping build the Best-Practice Docker Image, Easy to start

  Language:Go2.7k21111134

• pulumi/examples

  Infrastructure, containers, and serverless apps to AWS, Azure, GCP, and Kubernetes... all deployed with Pulumi

  Language:TypeScript2.3k77421872

• orico/www.mlcompendium.com

  The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.

  2k390224

• argoproj/argocd-example-apps

  Example Apps to Demonstrate Argo CD

  Language:Jsonnet1.4k27386.5k

• abhishek-ch/around-dataengineering

  A Data Engineering & Machine Learning Knowledge Hub

  Language:Python1.1k852227

• trallnag/prometheus-fastapi-instrumentator

  Instrument your FastAPI with Prometheus metrics.

  Language:Python84749783

• Azure/application-gateway-kubernetes-ingress

  This is an ingress controller that can be run on Azure Kubernetes Service (AKS) to allow an Azure Application Gateway to act as the ingress for an AKS cluster.

  Language:Go66659707413

• dbt-labs/dbt-spark

  dbt-spark contains all of the code enabling dbt to work with Apache Spark and Databricks

  Language:Python37021356208

• stephenhillier/starlette_exporter

  Prometheus exporter for Starlette and FastAPI

  Language:Python30024733

• jeremyjordan/ml-monitoring

  A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.

  Language:Python2184360

• PagerTree/prometheus-grafana-alertmanager-example

  A docker-compose stack for Prometheus monitoring

  Language:Shell14940108

• rodalbuyeh/pyspark-k8s-boilerplate

  Boilerplate for PySpark on Cloud Kubernetes

  Language:Python339

• abij/az-account-switcher

  CLI to view and switch Azure subscriptions

  Language:Python29265

• dmatrix/tmls-workshop

  Toronto Machine Learning MLflow Workshop

  Language:Jupyter Notebook26317

• clarenceb/traefik-ingress-example

  Demo using the Traefik ingress controller in AKS

  173010

• bradyjiang/pyspark_xray

  a diagnostic tool, in the form of Python library, for pyspark developers to debug and troubleshoot PySpark applications locally

  Language:Python93

• glukicov/ML_GPU

  ML practice code: simple ML examples and Deep Learning on GPU

  Language:Jupyter Notebook33

• BoydDataEngineer/RealTimeDataPipeline

  This repository contains the code for a real-time data pipeline that leverages Kafka for message processing and PostgreSQL for data storage. The pipeline consists of a producer that fetches data from the National Rail's STOMP server and a consumer that processes and stores this data in a database.

  Language:Shell1

• jettro/ml-introduction

  Contains some experiments for a machine learning introduction training

  Language:Jupyter Notebook130