AlmogHoro's Stars
alextanhongpin/database-design
Ideas on better database design
toddwschneider/nyc-motor-vehicle-collisions
Analysis of motor vehicle collisions in New York City
ChandraLingam/AmazonSageMakerCourse
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
snowplow/snowplow
The leader in Next-Generation Customer Data Infrastructure
Kaggle/docker-python
Kaggle Python docker image
facebookresearch/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
tensorflow/tfjs
A WebGL accelerated JavaScript library for training and deploying ML models.
awsdocs/amazon-sagemaker-developer-guide
The open source version of the Amazon SageMaker docs
aws/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
awsdocs/amazon-redshift-management-guide
The open source version of the Amazon Redshift Cluster Management Guide.
awslabs/amazon-redshift-utils
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
h2oai/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
bfortuner/ml-glossary
Machine learning glossary
aws-samples/amazon-personalize-samples
Notebooks and examples on how to onboard and use various features of Amazon Personalize
aws-samples/machine-learning-samples
Sample applications built using AWS' Amazon Machine Learning.
aws-samples/aws-sagemaker-ml-blog-predictive-campaigns
Deliver Pinpoint Campaigns Driven by Machine Learning on AWS SageMaker
atlassian-archive/redshift-pocs
Redshift Proof of Concepts
aws-samples/aws-big-data-blog
aws-samples/serverless-data-analytics
CloudFormation templates and scripts to setup the AWS services for the workshop, Athena & Redshift Spectrum queries
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
magento/magento2
Prior to making any Submission(s), you must sign an Adobe Contributor License Agreement, available here at: https://opensource.adobe.com/cla.html. All Submissions you make to Adobe Inc. and its affiliates, assigns and subsidiaries (collectively “Adobe”) are subject to the terms of the Adobe Contributor License Agreement.
ContinuumIO/anaconda-issues
Anaconda issue tracking
awsdocs/amazon-redshift-developer-guide
This is the documentation for the Amazon Redshift Developer Guide
aws/aws-cli
Universal Command Line Interface for Amazon Web Services
aws-samples/amazon-forecast-samples
Notebooks and examples on how to onboard and use various features of Amazon Forecast.