riyamolgeorge's Stars
aws-samples/amazon-sagemaker-local-mode
Amazon SageMaker Local Mode Examples
aws-samples/sagemaker-processing-reading-data-from-redshift-to-sagemaker-pipelines
jupyter/notebook
Jupyter Interactive Notebook
aws/studio-lab-examples
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
robjhyndman/forecast
Forecasting Functions for Time Series and Linear Models
techiescamp/kubernetes-learning-path
A roadmap to learn Kubernetes from scratch (Beginner to Advanced level)
bigdatabysumitm/NotesOfYouTubeSQLSeries
a-abukar/3-tier-architecture-iac
TheAlgorithms/Python
All Algorithms implemented in Python
Vinithavn/Monitor-model-logs
Monitor the metrics of a model remotely, while training the model
tomhuang12/awesome-k8s-resources
A curated list of awesome Kubernetes tools and resources.
realpython/python-guide
Python best practices guidebook, written for humans.
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
bengsoon/mlops-zoomcamp
Personal Notes from MLOps Zoomcamp by DataTalks.club
iterative/mlem
🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞
whylabs/whylogs
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
huggingface/evaluate
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
K-G-PRAJWAL/Machine-Learning-Projects
Awesome Machine Learning Projects.
PacktPublishing/Hands-On-Data-Science-and-Python-Machine-Learning
Hands-On Data Science and Python Machine Learning, published by Packt
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
victor369basu/SagemakerHuggingfaceDashboard
This is a solution that demonstrates how to train and deploy a pre-trained Huggingface model on AWS SageMaker and publish an AWS QuickSight Dashboard that visualizes the model performance over the validation dataset and Exploratory Data Analysis for the pre-processed training dataset.
madhuakula/kubernetes-goat
Kubernetes Goat is a "Vulnerable by Design" cluster environment to learn and practice Kubernetes security using an interactive hands-on playground 🚀
deepchecks/deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Ephemeral-Ahsan/Complex-SQL-Practice-for-Interview
I have tried to solve some complex SQL interview questions that had been asked in several company. Collected this question from Ankit Bansal. He made a organized playlist along with the solution. I have tried to figure out them first and then checked whether my query is correct or no. Thanks in advance.
ludwig-ai/ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
machine-learning-apps/hands-on-ml2
Notebooks from https://github.com/ageron/handson-ml2 as blog posts using fastpages
tirthajyoti/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
MichaelCade/90DaysOfDevOps
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
dair-ai/ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
docker/awesome-compose
Awesome Docker Compose samples