simongillett

simongillett's Stars

• nodejs/node

  Node.js JavaScript runtime ✨🐢🚀✨

  Language:JavaScript109k2.9k18.6k30.1k

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook22.3k5102388.5k

• airbytehq/airbyte

  The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

  Language:Python16.7k18614.8k4.2k

• graphql/graphql-spec

  GraphQL is a query language and execution engine tied to any backend service.

  Language:Shell14.3k5155111.1k

• bloomberg/memray

  Memray is a memory profiler for Python

  Language:Python13.5k59202399

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.4k3263252.6k

• aws/aws-cdk

  The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code

  Language:TypeScript11.8k22815.1k4k

• openai/spinningup

  An educational resource to help anyone learn deep reinforcement learning.

  Language:Python10.3k2302882.3k

• boto/boto3

  AWS SDK for Python

  Language:Python9.1k2353.4k1.9k

• GoogleCloudPlatform/training-data-analyst

  Labs and demos for courses for GCP Training (http://cloud.google.com/training).

  Language:Jupyter Notebook8k2842225.9k

• voila-dashboards/voila

  Voilà turns Jupyter notebooks into standalone web applications

  Language:Python5.5k74747506

• aws/aws-sdk-pandas

  pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

  Language:Python4k601.2k700

• data-science-on-aws/data-science-on-aws

  AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

  Language:Jupyter Notebook3.4k1192231.1k

• awslabs/deequ

  Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

  Language:Scala3.3k80337542

• erdewit/ib_insync

  Python sync/async framework for Interactive Brokers API

  Language:Python2.9k181583790

• aws-amplify/amplify-cli

  The AWS Amplify CLI is a toolchain for simplifying serverless web and mobile development.

  Language:TypeScript2.8k1356.7k826

• nickmccullum/algorithmic-trading-python

  The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

  Language:Jupyter Notebook2.5k92572.5k

• cloudscape-design/components

  React components for Cloudscape Design System

  Language:TypeScript2.4k28268159

• aws/sagemaker-python-sdk

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

  Language:Python2.1k1361.5k1.1k

• boto/botocore

  The low-level, core functionality of boto3 and the AWS CLI.

  Language:Python1.5k711.1k1.1k

• Auquan/Tutorials

  Ipython notebooks for math and finance tutorials

  Language:Jupyter Notebook9986113572

• rapidsai/notebooks

  RAPIDS Sample Notebooks

  Language:Shell578290199

• aws-samples/amazon-forecast-samples

  Notebooks and examples on how to onboard and use various features of Amazon Forecast.

  Language:Jupyter Notebook5204058369

• awslabs/dynamodb-shell

  A command line client (shell) for AWS DynamoDB that offers DDL and DML support similar to CLIs for other databases.

  Language:C++1538513

• data-apis/dataframe-api

  RFC document, tooling and other content related to the dataframe API standard

  Language:Python1043815821

• amzn/selling-partner-api-samples

  Sample code for Amazon Selling Partner API use cases

  Language:Java7118837

• awslabs/aws-crt-nodejs

  NodeJS bindings for the AWS Common Runtime.

  Language:TypeScript40239227

• andriiaprysiazhnyk/amazon_dynamic_pricing

  Language:Jupyter Notebook4101

• aws-solutions-library-samples/guidance-for-third-party-marketplace-on-aws

  This Guidance demonstrates how retailers can onboard new suppliers and process orders of these suppliers’ products to help them provide customers with more product choices without higher inventory cost.

  Language:Python2803

• simongillett/Tutorials

  Ipython notebooks for math and finance tutorials

  Language:Jupyter Notebook10