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ai-agile-team

An innovative Python project that integrates AI-driven agents for Agile software development, leveraging advanced language models and collaborative task automation.

archetypes-mixture

How to generate different kinds of application architectures without maintaining redundant archetypes code

captaincoder

CaptainCoder is a privacy-focused, locally-run code completion extension for VSCode that supports a wide range of popular large language models with open-source flexibility and the integration of Retrieval-Augmented Generation (RAG).

deep-generative-models

My own implementation on various types of deep generative models

dive

A tool for exploring each layer in a docker image

docker-opengl

A docker image that supports rendering graphical applications.

finrl-tutorials

Tutorials. Please star.

jeanjerome

jekyll-deploy-action

🪂 A Github Action to deploy the Jekyll site conveniently for GitHub Pages.

jte-the-basics

Jenkins Template Engine basic examples

jte-the-basics-app-gradle

Jenkins Template Engine basic app

kube-jenkins-docker

local-k8s-installation

✨ How to install locally Kubernetes, Dashboard, Metrics-Server, Kube-State-Metrics, Prometheus, and Grafana... on MacOS ✨

ml-ferret

A port to Apple Silicon (see branch silicon)

play-silhouette-website

A Play Silhouette template for the Play Framework with PostgreSQL

refacto-df-shell-script

semisupervised_timeseries_infogan

A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a supervised loss function. So it's called semisupervised Info GAN.

simple-java-app

Simple yet comprehensive app for testing CI in a toolchain.

simple-java-maven-app

For an introductory tutorial on how to use Jenkins to build a simple Java application with Maven.

tensorflow_macos

TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.

timeseries_gan

A working tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data based on buriburisuri work.