tutorials made for biologists to learn deep learning
- biologists
- keras
- deeplearning
- deep-learning
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tutorials made for biologists to learn deep learning
Infrastructure-as-code toolkit (Docker Compose, Kubernetes, Terraform) for deploying containerized services, using the predictive-cicd-remediation project as the reference workload.
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💣 TodoMVC done in Preact. Under 6kb and fast.
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Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)
(Work in progress) Examples of common UI patterns with Marionette.js
A curated, opinionated list of best-in-class books for modern software development, popular programming languages, and AI/ML.
Minimal demo app for graphql-spqr
Code repository for Qt5 C++ GUI Programming Cookbook, published by Packt
A curated list of awesome projects related to cilium
An app to search startup jobs scraped from websites written in Elixir, Phoenix, React and styled-components.
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
Modular, heavily-documented Elm todo app with a json rest api
Example showcasing how to use Prisma + Postgres + Jest, where each test has its own unique DB context
Compilado de recursos sobre Computação Quântica em português
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A collection of links that summarize EmberConf 2017
A list of articles demonstrating how to do UI with ColdFusion on the back end.
Todo example for koa-graphql and relay
A curated list of awesome Dojo JavaScript Toolkit libraries, resources and other shiny things.
A simplified (in memory) example of Event Sourcing implementation for banking domain.
In this project, the Pacman agent will find paths through his maze world, both to reach a particular location and to collect food efficiently. I implemented general search algorithms such as depth-first, breadth-first, uniform cost, and A* search algorithms which are used to solve navigation problems in the Pacman world.
A skeleton of google's appcompat android navigation drawer with material design.