srmds
AI Solution Architect | Senior Software-, Data- & Machine Learning Engineer
Daistra | Data & AI StrategiesNetherlands
srmds's Stars
wagoodman/dive
A tool for exploring each layer in a docker image
psf/black
The uncompromising Python code formatter
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
ahmetb/kubectx
Faster way to switch between clusters and namespaces in kubectl
rtyley/bfg-repo-cleaner
Removes large or troublesome blobs like git-filter-branch does, but faster. And written in Scala
martinvonz/jj
A Git-compatible VCS that is both simple and powerful
mage-ai/mage-ai
🧙 Build, run, and manage data pipelines for integrating and transforming data.
lavague-ai/LaVague
Large Action Model framework to develop AI Web Agents
mmumshad/kubernetes-the-hard-way
Bootstrap Kubernetes the hard way on Vagrant on Local Machine. No scripts.
spark-jobserver/spark-jobserver
REST job server for Apache Spark
huggingface/knockknock
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
goodwithtech/dockle
Container Image Linter for Security, Helping build the Best-Practice Docker Image, Easy to start
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.
argoproj/argocd-example-apps
Example Apps to Demonstrate Argo CD
sdg-1/consulting-handbook
A guide for technical professionals looking to start consulting
abhishek-ch/around-dataengineering
A Data Engineering & Machine Learning Knowledge Hub
trallnag/prometheus-fastapi-instrumentator
Instrument your FastAPI with Prometheus metrics.
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.
dbt-labs/dbt-spark
dbt-spark contains all of the code enabling dbt to work with Apache Spark and Databricks
stephenhillier/starlette_exporter
Prometheus exporter for Starlette and FastAPI
jeremyjordan/ml-monitoring
A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.
PagerTree/prometheus-grafana-alertmanager-example
A docker-compose stack for Prometheus monitoring
rodalbuyeh/pyspark-k8s-boilerplate
Boilerplate for PySpark on Cloud Kubernetes
abij/az-account-switcher
CLI to view and switch Azure subscriptions
dmatrix/tmls-workshop
Toronto Machine Learning MLflow Workshop
bradyjiang/pyspark_xray
a diagnostic tool, in the form of Python library, for pyspark developers to debug and troubleshoot PySpark applications locally
hoogvliets/engineering-managers-checklist
glukicov/ML_GPU
ML practice code: simple ML examples and Deep Learning on GPU
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.
jettro/ml-introduction
Contains some experiments for a machine learning introduction training