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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Firefly III: a personal finances manager
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Materials and hand-on exercises for beginner training course on Bazel
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
đź’Ż Curated coding interview preparation materials for busy software engineers
VIP cheatsheets for Stanford's CS 229 Machine Learning
CLI for generating, building, and releasing oclif CLIs. Built by Salesforce.
30 Days of React challenge is a step by step guide to learn React in 30 days. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Studying for a tech interview sucks. Here's an open source cheat sheet to help
Generate batch personalized recommendations using Amazon Personalize
This lab is about how to add the AI and ML cloud service feature to your web application with React and the Amplify Framework.
Example projects using the AWS CDK
Support material for the “Introduction to Functional Programming” workshop @ the "Welcome to Functional Programming" day of YOW! Lambda Jam, Sydney, 2018 & 2019
A tool for generating Protobuf v3 schemas and gRPC service definitions from OpenAPI specifications
Open Source Universal React Redux GraphQL Boilerplate
This repository is contains spring-boot 2 / spring framework 5 project examples. Using reactive programming model / paradigm and Kotlin
Reactive Streams Specification for the JVM
đź“„ Awesome CV is LaTeX template for your outstanding job application