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13 search results found

Data Science Ipython Notebooks ⭐ 25,668

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Awesome Kubernetes ⭐ 14,502

A curated list for awesome kubernetes sources 🚢🎉

Awesome Aws ⭐ 11,773

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

Amazon Sagemaker Examples ⭐ 9,560

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Metaflow ⭐ 7,524

🚀 Build and manage real-life ML, AI, and data science projects with ease!

Image Super Resolution ⭐ 4,392

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Gluonts ⭐ 4,288

Probabilistic time series modeling in Python

Artificial Intelligence Deep Learning Machine Learning Tutorials ⭐ 3,436

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Data Science Best Resources ⭐ 2,718

Carefully curated resource links for data science in one place

Sagemaker Python Sdk ⭐ 1,994

A library for training and deploying machine learning models on Amazon SageMaker

Image Quality Assessment ⭐ 1,937

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

Deepcamera ⭐ 1,506

Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more

Seldon Server ⭐ 1,420

Machine Learning Platform and Recommendation Engine built on Kubernetes

Hopsworks ⭐ 1,041

Hopsworks - Data-Intensive AI platform with a Feature Store

dstack is an open-source toolkit for running GPU workloads on any cloud. It works seamlessly with any cloud GPU providers. Discord: https://discord.gg/u8SmfwPpMd

Optscale ⭐ 854

MLOps and FinOps platform to run ML/AI experiments and regular cloud workloads with optimal performance and cost.

Runhouse ⭐ 667

Create and share production-quality backend apps and services anywhere. Unobtrusive, debuggable, PyTorch-like APIs for your world of infra.

Studio Lab Examples ⭐ 539

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

Machine_learning_and_deep_learning ⭐ 492

Yet another redundant workflow engine

Agile_data_code_2 ⭐ 435

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

Sagemaker Training Toolkit ⭐ 430

Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

Everything Tech ⭐ 372

A collection of online resources to help you on your Tech journey.

A high-level, rapid development framework for machine learning projects

Ml_sagemaker_studies ⭐ 340

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

Adaptdl ⭐ 339

Resource-adaptive cluster scheduler for deep learning training.

Sagemaker Inference Toolkit ⭐ 336

Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

Aws Mlu Explain ⭐ 297

Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/

Sql Scripts ⭐ 291

100+ SQL Scripts - PostgreSQL, MySQL, Google BigQuery, MariaDB, AWS Athena. DevOps / DBA / Analytics / performance engineering. Google BigQuery ML machine learning classification.

Terraform Provider Iterative ⭐ 286

☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes

Sagemaker Spark ⭐ 285

A Spark library for Amazon SageMaker.

Best Data Science Resources ⭐ 282

This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.

Yolov5 Pip ⭐ 273

Packaged version of ultralytics/yolov5 + many extra features

Post Tuto Deployment ⭐ 269

Build and deploy a machine learning app from scratch 🚀

Library for automatic retraining and continual learning

Amazon Rekognition Video Analyzer ⭐ 254

A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.

Media Insights On Aws ⭐ 242

A serverless framework to accelerate the development of applications that discover next-generation insights in your video, audio, text, and image resources by utilizing AWS Machine Learning and Media services.

Functional_intro_to_python ⭐ 239

[tutorial]A functional, Data Science focused introduction to Python

Document Understanding Solution ⭐ 228

Example of integrating & using Amazon Textract, Amazon Comprehend, Amazon Comprehend Medical, Amazon Kendra to automate the processing of documents for use cases such as enterprise search and discovery, control and compliance, and general business process workflow.

Ml_prep ⭐ 226

Machine Learning interview prep guide

Amazon Sagemaker Mlops Workshop ⭐ 222

Machine Learning Ops Workshop with SageMaker: lab guides and materials.

Amazonsagemakercourse ⭐ 210

In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud. Learn how to use AWS Built-in SageMaker algorithms and AI, How to Bring Your Own Algorithm, Zero Downtime Model Deployment Options, How to Integrate and Invoke ML from your Application, Automated Hyperparameter Tuning

Mlflow Docker ⭐ 205

Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3

Aws Step Functions Data Science Sdk Python ⭐ 203

Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS

Aws Sdk Perl ⭐ 167

A community AWS SDK for Perl Programmers

Sagemaker Ssh Helper ⭐ 158

A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)

Sagemaker Debugger ⭐ 155

Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors

Aws Ai Ml Workshop Kr ⭐ 147

A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.

Amazon Sagemaker Architecting For Ml ⭐ 143

Materials for a 2-day instructor led course on applying machine learning

Awesome Sagemaker ⭐ 135

A curated list of references for Amazon SageMaker

Run compute jobs on AWS as if you were running them locally.

Machine Learning Using K8s ⭐ 121

Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS

Aws Ml Jp ⭐ 120

SageMakerで機械学習モデルを構築、学習、デプロイする方法が学べるNotebookと教材集

Aws Research Workshops ⭐ 111

This repo provides a managed SageMaker jupyter notebook with a number of notebooks for hands on workshops in data lakes, AI/ML, Batch, IoT, and Genomics.

Sagemaker Xgboost Container ⭐ 109

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

Books related to AI/ML/DL/GENAI

Ai Learning Roadmap ⭐ 106

List of all AI related learning materials and practical tools to get started with AI apps

Cloud Clubs Learner Library ⭐ 104

A library for learners! Whether or not you're a part of AWS Cloud Clubs, take a look in this library for free, open, leveled content for students 18+ worldwide

Pragmaticai ⭐ 103

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

Aws Ml Guide ⭐ 100

[Video]AWS Certified Machine Learning-Specialty (ML-S) Guide

Build and deploy a serverless data pipeline on AWS with no effort.

Awslambdaface ⭐ 96

Perform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.

Trapheus ⭐ 95

This tool automates restoration of RDS database instances from snapshots into any dev, staging or production environments. It supports individual RDS Snapshot as well as cluster snapshot restore operations.

Torchlambda ⭐ 94

Lightweight tool to deploy PyTorch models to AWS Lambda

Autodist ⭐ 92

Simple Distributed Deep Learning on TensorFlow

Content Analysis On Aws ⭐ 90

As of August 30, 2023, this AWS Solution is no longer available. Existing deployments will continue to run. The functionality provided by Content Analysis on AWS will be superseded with functionality in Media2Cloud on AWS and Content Localization on AWS. We encourage you to explore these solutions.

Deepracer Waypoints Workshop ⭐ 88

AWS DeepRacer Free Student Workshop: Run faster by using your custom waypoints. Step by Step to learn reinforcement learning,

Aws Lambda Docker Serverless Inference ⭐ 88

Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

Amazon Rekognition Custom Labels Demo ⭐ 88

A demo to test Custom Labels with models trained by Amazon Rekognition

Awesome Studio Lab Jp ⭐ 87

SageMaker Studio Labの教材を紹介するリポジトリ。

Sagemaker Explaining Credit Decisions ⭐ 87

Amazon SageMaker Solution for explaining credit decisions.

Ml_project_template ⭐ 81

Machine Learning Project Template - Ready to production

Spark_python_ml_examples ⭐ 81

Spark 2.0 Python Machine Learning examples

Spark_scala_ml_examples ⭐ 75

Spark 2.0 Scala Machine Learning examples

Web 3.0 Books ⭐ 74

web3, Metaverse, AI, MLOps, AWS Sagemaker, Blockchain, API Token Economy, and Graph Database, And there are many books

Mlops.net ⭐ 69

A machine learning model operations and management tool for ML.NET

Lambda.service.skeleton ⭐ 66

A skeleton for deploying python microservices on AWS Lambda.

Your internal mediocrity is the moment when you lost the faith of being excellent. Just do it.

Amazon Transcribe Live Call Analytics ⭐ 59

Amazon Transcribe Live Call Analytics (LCA) Sample Solution

Amazon Rekognition Engagement Meter ⭐ 53

The Engagement Meter calculates and shows engagement levels of an audience participating in a meeting

Aws Machine Learning Foundations Scholarship ⭐ 53

Udacity AWS ML Foundations Scholarship Course Walkthrough

Dynamic Training With Apache Mxnet On Aws ⭐ 52

Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. The system reduces training cost and time by dynamically updating the training cluster size during training, with minimal impact on model training accuracy.

Twde Datalab ⭐ 52

Onboarding to data science by ThoughtWorks

Dechorder ⭐ 51

Automatic chord recognition application powered by machine learning

Mlflow Tracking Server ⭐ 51

MLFLow Tracking Server based on Docker and AWS S3

Sagemaker Notebook Container ⭐ 51

Docker images that replicate the Amazon SageMaker Notebook instance.

Sagemaker Pipeline ⭐ 44

Sagemaker pipeline for AWS Summit New York

Analisis Numerico Computo Cientifico ⭐ 43

Análisis numérico y cómputo científico

Mxnet2coreml_ios_sample_app ⭐ 43

MXNet to Core ML - iOS sample app

Soopervisor ⭐ 42

☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.

Liveness Detection Framework ⭐ 41

A framework that helps you implement liveness detection mechanisms into your applications by means of an extensible architecture on AWS.

Amazon Sagemaker Edge Defect Detection Computer Vision ⭐ 40

Workshop showcasing how to run defect detection using computer vision at the edge with Amazon SageMaker

Sak Kubeflow ⭐ 36

🚀 Deploy Kubeflow on AWS EKS with Terraform 🤖

Sageworks ⭐ 36

SageWorks: An easy to use Python API for creating and deploying SageMaker Models

Infinity ⭐ 36

AWS Spot instances for ML

Enjoytheshow ⭐ 35

Real-time facial expression gathering

Mlflow Server ⭐ 34

MLflow Tracking Server with basic auth deployed in AWS App Runner.

Aws Open Data ⭐ 34

A list of open datasets on AWS

Automating Livestream Video Monitoring ⭐ 34

This repo presents a demo application for realtime livestream video quality monitoring using AWS serverless and AI/ML services.

Real Time Image Tracking ⭐ 34

Real-time image tracking with React, GraphQL, and AWS AppSync

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