Pinned Repositories
academy
Ray tutorials from Anyscale
aditya-chaturvedi
amazon-kinesis-data-analytics-java-examples
Example Java applications for Kinesis Data Analytics, demonstrating sources, sinks, and operators.
anthos-workshop
applied-ml
📚 Papers & articles of companies sharing their work on applied data science & machine learning.
arrow
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.
ImageMagickBulkCompare
Shell Script to compare images kept in 2 folder and compare them using RMSE algorithm using ImageMagick tool.
spark-on-spring-boot
running spark application leveraging the power of spring framework
spark_s3
Spring boot-based spark application that analyzes an apache log file sitting in S3 (hat-tip to DataBricks for spark portions)
twitter-senti-analysis
Shiny app to quickly show how to setup Oauth2 on twitter search and execute basic search.
aditya-chaturvedi's Repositories
aditya-chaturvedi/academy
Ray tutorials from Anyscale
aditya-chaturvedi/amazon-kinesis-data-analytics-java-examples
Example Java applications for Kinesis Data Analytics, demonstrating sources, sinks, and operators.
aditya-chaturvedi/anthos-workshop
aditya-chaturvedi/applied-ml
📚 Papers & articles of companies sharing their work on applied data science & machine learning.
aditya-chaturvedi/arrow
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.
aditya-chaturvedi/aws_serverless_photo_gallery
aditya-chaturvedi/cicd-templates
Manage your Databricks deployments and CI with code.
aditya-chaturvedi/consoleme
A Central Control Plane for AWS Permissions and Access
aditya-chaturvedi/d2l-en
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.
aditya-chaturvedi/d2l-tensorflow-sagemaker
aditya-chaturvedi/databricks
Repository of sample Databricks notebooks
aditya-chaturvedi/deepnote
aditya-chaturvedi/delta-rs
A native Rust library for Delta Lake, with bindings into Python and Ruby.
aditya-chaturvedi/feast_workshops
A series of workshop modules introducing Feast feature store.
aditya-chaturvedi/google-colab
aditya-chaturvedi/lambda-the-terraform-way
AWS Lambda using Terraform., an Introductory Cookbook
aditya-chaturvedi/madewithml
Learn how to responsibly deliver value with applied ML.
aditya-chaturvedi/mlops
https://madewithml.com/
aditya-chaturvedi/og-aws
📙 Amazon Web Services — a practical guide
aditya-chaturvedi/pipeline.ai-workshop
aditya-chaturvedi/qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
aditya-chaturvedi/ranger
Mirror of Apache Ranger
aditya-chaturvedi/sagemaker-studio-custom-image-samples
This repository contains examples of Docker images that are valid custom images for KernelGateway Apps in SageMaker Studio
aditya-chaturvedi/sagemaker-workshop
aditya-chaturvedi/sagemaker-workshop-2021
Workshop content for Getting Started with Amazon SageMaker
aditya-chaturvedi/streaming-analytics-workshop
Learn how to build an end-to-end streaming architecture to ingest, analyze, and visualize streaming data in near real-time
aditya-chaturvedi/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
aditya-chaturvedi/tech-talks
This repository contains the notebooks and presentations we use for our Databricks Tech Talks
aditya-chaturvedi/WearingGlasses-TensorFlow
aditya-chaturvedi/workshop
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker