saurzcode Goto Github PK
Name: Saurabh Chhajed
Type: User
Bio: BigData/ML Engineer | All Things Java/Python/Spark/Scala/ML
Twitter: saurzcode
Location: Phoenix,Arizona
Blog: http://saurzcode.in
Name: Saurabh Chhajed
Type: User
Bio: BigData/ML Engineer | All Things Java/Python/Spark/Scala/ML
Twitter: saurzcode
Location: Phoenix,Arizona
Blog: http://saurzcode.in
Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints
😎 Awesome lists about all kinds of interesting topics
A curated list of awesome places to learn and/or practice algorithms.
A curated list of awesome awesomeness
:books: List of awesome university courses for learning Computer Science!
A curated list of data engineering tools for software developers
:memo: An awesome Data Science repository to learn and apply for real world problems.
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
An awesome list of (large-scale) public datasets on the Internet. (On-going collection)
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
A curated list of articles that cover the software engineering best practices for building machine learning applications.
A curated list of awesome System Design (A.K.A. Distributed Systems) resources.
Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.
LinkedIn's Kafka to HDFS pipeline.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Examples of usage of catboost spark library for regression, classification and feature importance calculation.
A complete computer science study plan to become a software engineer.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
MapReduce, Spark, Java, and Scala for Data Algorithms Book
Data science interview questions with answers. Not ideally (yet)
Data science interview questions and answers
Contains code using sklearn machine learning
The Leek group guide to data sharing
A collection of (mostly) technical things every software developer should know about
Grokking system design
Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems theory to product development.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.