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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.

Amazon Sagemaker Examples ⭐ 9,221

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

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

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

Deep Learning Containers ⭐ 881

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

Studio Lab Examples ⭐ 539

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

Deep Framework ⭐ 532

Full-stack JavaScript Framework for Cloud-Native Web Applications (perfect for Serverless use cases)

Machine_learning_and_deep_learning ⭐ 492

Training deep learning models on AWS and GCP instances

Sagemaker Training Toolkit ⭐ 430

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

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

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/

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

Godeeper ⭐ 260

Deeplearning Cfn ⭐ 244

Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow

OCR, Archive, Index and Search: Implementation agnostic OCR framework.

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

Snap N Eat ⭐ 204

Food detection and recommendation with deep learning

Repo 2018 ⭐ 166

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

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.

Pytorch Serverless ⭐ 146

FastAI PyTorch Serverless API (w/ AWS Lambda)

Deep Learning Models ⭐ 132

Natural language processing & computer vision models optimized for AWS

Terraform Aws Spotgpu ⭐ 123

Fully automated provisioning of AWS EC2 Spot Instances for Deep Learning workloads using Terraform.

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

Ai Learning Roadmap ⭐ 106

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

Books related to AI/ML/DL/GENAI

Content Dynamodb Deepdive ⭐ 102

Amazon DynamoDB Deep Dive Course

02456 Deep Learning ⭐ 97

Exercises and supplementary material for the deep learning course 02456.

Awslambdaface ⭐ 96

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

Torchlambda ⭐ 94

Lightweight tool to deploy PyTorch models to AWS Lambda

Autodist ⭐ 92

Simple Distributed Deep Learning on TensorFlow

Sagemaker Distributed Training Workshop ⭐ 84

Hands-on workshop for distributed training and hosting on SageMaker

Timeseries ⭐ 83

Deep Learning repo for timeseries and sequence data

Ml_project_template ⭐ 81

Machine Learning Project Template - Ready to production

Web 3.0 Books ⭐ 74

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

Portal Gun ⭐ 65

Deep Learning on Amazon EC2 Spot Instances without the agonizing pain.

Hands On Python Deep Learning For Web ⭐ 65

Hands-On Python Deep Learning for Web by Anubhav Singh and Sayak Paul

Easily create a web UI on Amazon Mechanical Turk to crowd-source instance segmentation data

Sagemaker Deep Demand Forecast ⭐ 63

Using Deep Learning for Demand Forecasting with Amazon SageMaker

Aws Powershell ⭐ 59

AWS PowerShell scripts for VPC, ELB, and Route 53 (Networking deep dive courses)

Nvidia Docker Keras ⭐ 54

Workflow that shows how to train neural networks on EC2 instances with GPU support and compares training times to CPUs

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.

Object Detection and Analysis Made easy using Raspberry Pi, Apache Kafka, AWS Rekognition & Docker

Aws Deep Learning Amis ⭐ 46

This is the documentation for AWS Deep Learning AMIs: your one-stop shop for deep learning in the cloud

Dl Twitch Series ⭐ 42

Notebook from the Deep Learning Twitch Series on AWS (https://twitch.tv/aws)

Secure backups with AWS S3 Glacier Deep Archive

Awsgpu_deeplearning ⭐ 41

Code to setup AWS GPU instance to run Daniel Nouri's Facial Keypoints competition

Deep Security's APIs make it simple to integration with a variety of AWS Services

Ecs Deep Dive 2018 ⭐ 39

Amazon ECS Deep Dive 2018

Sak Kubeflow ⭐ 36

🚀 Deploy Kubeflow on AWS EKS with Terraform 🤖

Infinity ⭐ 36

AWS Spot instances for ML

Practical Deep Learning On The Cloud ⭐ 35

Practical Deep Learning on the Cloud, published by Packt

Aws Open Data ⭐ 34

A list of open datasets on AWS

Two1 Deep Learning ⭐ 29

Use 21, AWS, Django, and Heroku to sell deep learning algorithms.

Deep Learning On Ec2 ⭐ 29

Deep learning on EC2 AWS

Sagemaker Defect Detection ⭐ 28

Detect Defects in Products from their Images using Amazon SageMaker

Aws Config ⭐ 28

Deep Security's APIs make it simple to integration with a variety of AWS Services

Stylizeapp ⭐ 27

A flask website for style transfer

Aws Robomaker Sample Application Objecttracker ⭐ 25

Use AWS RoboMaker and demonstrate a simulation that can train a reinforcement learning model to make a TurtleBot WafflePi to follow a TurtleBot burger, and then Deploy via RoboMaker to the robot.

Thepersonalmsds ⭐ 23

The Personal MS(DS) is an initiative to customize the Data Science Masters roadmap according to one's interests hence providing complete autonomy to the learner. The intuition behind #thepersonalmsds is to upgrade skills without formally enrolling into a Master's program at a University

Cloudtik ⭐ 23

Cloud Scale Platform for Distributed Analytics and AI

Practical Deep Learning ⭐ 23

fast.ai course for coders

Data Science End To End ⭐ 22

A Respository to get you job ready as a Data Scientist

Img_ai_app_boilerplate ⭐ 22

An image classification app boilerplate to serve your deep learning models asap!

Digital_champions_deeplearning_r_mxnet ⭐ 22

Showcase for using R + MXNET along with AWS and bitfusion for deep learning.

Horovod Ansible ⭐ 21

Create Horovod cluster easily using Ansible

Deepracer For Cloud ⭐ 20

Private fork of DeepRacer-for-Cloud; master has been moved upstream.

Model Training And Deployment ⭐ 20

Training and deployment of deep learning models for satellite & aerial imagery

Amazon Guardduty ⭐ 19

Deep Security's APIs make it simple to integration with a variety of AWS Services

Nvidia Docker Bootstrap ⭐ 19

For those times when nvidia-docker is not possible (like AWS ECS)

Serverless Deep Learning With Tensorflow And Aws Lambda ⭐ 19

Serverless Deep Learning with TensorFlow and AWS Lambda, published by Packt

Aws Rosettafold ⭐ 18

Infrastructure template and Jupyter notebooks for running RoseTTAFold on AWS Batch.

Federated Learning Infra Architecture on Kubernetes(EKS)

Deepracerrewardfunctionscollection ⭐ 17

Compilation of reward functions for the AWS Deep Racer service

Amazon Inspector ⭐ 16

Deep Security's APIs make it simple to integration with a variety of AWS Services

Data Science Articles ⭐ 15

A collection of my data science articles published in Towards Data Science and Towards AI.

Quickstart Trendmicro Deepsecurity ⭐ 15

AWS Quick Start Team

Deepracer_env ⭐ 13

A virtual environment for training the aws deep racer.

Vp_awsfpga ⭐ 13

Virtual Platform for AWS FPGA support

Beawesometoday ⭐ 13

Be Awesome Today - My Awesome List & Today I Learned & Blogging Articles

Serverless Machine Learning ⭐ 12

Examples of deploying scikit, spaCy and Keras (TensorFlow) machine learning models to AWS Lambda with Serverless framework and Python 3.

Lambdipy ⭐ 12

A tool for building and packaging python packages for AWS Lambda.

Model_deployment ⭐ 12

A collection of model deployment library and technique.

Python Machinelearning Setup ⭐ 11

Quickly set-up a Python environment for machine learning and data science projects

Gameinshape ⭐ 11

An Innovative Gaming Platform that Integrates Digital Games with Physical Fitness.

Mxnet Gluoncv Aws Coursera ⭐ 11

This repo includes my solutions to the Coursera course offered by AWS titled "AWS Computer Vision: Getting Started with GluonCV", in addition to more tutorials and in-depth handson labs. Please 🌟 the repo if you like it ☝️ Create an Issue or preferably a PR for any improvement. 🚀

Pacific Sound Notebooks ⭐ 11

Juptyer notebook tutorials on using the data in the AWS pacific-sound registry for ocean soundscape research, education, and the arts

Aws Security Hub ⭐ 11

Send high priority Deep Security events to the AWS Security Hub

Aws Lambda Docker ⭐ 10

Using AWS Lambda with Docker to deploy a deep learning model

Ai Resources Zh ⭐ 10

人工智能与数据科学资源中文索引

Demo Rosa Sagemaker ⭐ 10

How to use ROSA with AWS sagemaker

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