Pinned Repositories
amazon-eks-ami
Packer configuration for building a custom EKS AMI
amazon-serverless-datalake-workshop
A workshop demonstrating the capabilities of S3, Athena, Glue, Kinesis, and Quicksight.
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.
aws-cloudformation-templates
A collection of useful CloudFormation templates
aws-sdk-js
AWS SDK for JavaScript in the browser and Node.js
aws-workshop
Learn to deploy real applications in a scalable way, using Amazon Web Services.
basic-scala-template
A baseline template for scala projects of any type
BigDL-Tutorials
Step-by-step Deep Leaning Tutorials on Apache Spark using BigDL
Breadth_first_search
Fun project
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
schaicdn's Repositories
schaicdn/amazon-eks-ami
Packer configuration for building a custom EKS AMI
schaicdn/amazon-serverless-datalake-workshop
A workshop demonstrating the capabilities of S3, Athena, Glue, Kinesis, and Quicksight.
schaicdn/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.
schaicdn/aws-cloudformation-templates
A collection of useful CloudFormation templates
schaicdn/aws-sdk-js
AWS SDK for JavaScript in the browser and Node.js
schaicdn/aws-workshop
Learn to deploy real applications in a scalable way, using Amazon Web Services.
schaicdn/BigDL-Tutorials
Step-by-step Deep Leaning Tutorials on Apache Spark using BigDL
schaicdn/CS231n-2017-Summary
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
schaicdn/da-week
Data Analytics Week at the AWS Loft
schaicdn/dashboard
General-purpose web UI for Kubernetes clusters
schaicdn/db-week
Database Week at the AWS Loft
schaicdn/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
schaicdn/DeepLearningWithTF2.0
Practical Exercises in Tensorflow 2.0 for Ian Goodfellows Deep Learning Book
schaicdn/dmbi_data_hackathon
introduction_to_competitive_data_science tutorials
schaicdn/dustcloud
Xiaomi Smart Home Device Reverse Engineering and Hacking
schaicdn/ecg
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
schaicdn/ecs-deep-dive-2018
Amazon ECS Deep Dive 2018
schaicdn/eht-imaging
Imaging, analysis, and simulation software for radio interferometry
schaicdn/eks-deep-dive-2019
Amazon EKS Deep Dive 2019
schaicdn/foundationdb
FoundationDB - the open source, distributed, transactional key-value store
schaicdn/kubernetes
Production-Grade Container Scheduling and Management
schaicdn/kubernetes-network-policy-recipes
Example recipes for Kubernetes Network Policies that you can just copy paste
schaicdn/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
schaicdn/player
The Player cross-platform robot device interface & server
schaicdn/quickstart-aws-vpc
AWS Quick Start Team
schaicdn/s3-hands-on-lab
Hands-On Lab: Introduction to Amazon S3 (Simple Storage Service)
schaicdn/SFrame
SFrame: Scalable tabular and graph data-structures built for out-of-core data analysis and machine learning.
schaicdn/statsmodels
Statsmodels: statistical modeling and econometrics in Python
schaicdn/Trending-Deep-Learning
Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
schaicdn/turicreate
Turi Create simplifies the development of custom machine learning models.