Ross ROSS = Recommend OSS · open-source software intelligence for agents

unipds-engenharia-de-ia-aplicada/engenharia-de-software-com-ia-aplicada resource

Códigos e referências usados na Pós de Engenharia de Software com IA Aplicada observed · 2026-09-03

github.com/unipds-engenharia-de-ia-aplicada/engenharia-de-software-com-ia-aplicada · homepage · TypeScript · NOASSERTION (other) observed · 2026-09-03

Health v2 · maintenance only

60/100

  • Activity 100
  • Release rhythm 35
  • Longevity 16

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 224
  • days_rel: n/a
  • days_push: 0
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1084 stars · 566 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A companion repository of code examples, demos, and reference links for the UNIPDS postgraduate program 'Engenharia de Software com IA Aplicada' taught by Erick Wendel and other instructors. It contains TypeScript/JavaScript projects covering AI/LLM fundamentals, machine learning, deep learning, recommendation systems, and web machine learning, organized by course module.

Use cases

  • learn AI and LLM fundamentals as a programmer
  • find examples of machine learning in the browser with JavaScript
  • study how to build a recommendation system with neural networks
  • explore LangChain.js examples for AI engineering
  • follow along with a postgraduate course on applied AI software engineering
  • see practical demos of TensorFlow.js and Teachable Machine
  • learn reinforcement learning and deep learning concepts with code

When to choose

  • you are enrolled in or considering the UNIPDS AI engineering postgraduate course
  • you want curated, module-organized examples of applied AI in TypeScript/JavaScript
  • you learn best from small demo projects with external reference links
  • you want browser-based ML examples like game-playing agents and recommendation systems

When to avoid

  • you need a production-ready library or framework to install via npm
  • you want comprehensive standalone documentation rather than course companion material
  • you need a permissively licensed codebase you can freely reuse (license is unspecified)
  • you are looking for Python-based AI tooling

Facets

learning-resource · maturity active

machine-learning deep-learning llm-inference agent-framework rag developer-tools artificial-intelligence machine-learning deep-learning large-language-models education tutorials web-development browser cross-platform course-materials postgraduate-course langchain-js teachable-machine tensorflow-js recommendation-systems erick-wendel unipds brazilian-portuguese nodejs typescript javascript

2 sources

Member repositories

For agents

markdown · JSON · MCP: product_card(name="unipds-engenharia-de-ia-aplicada/engenharia-de-software-com-ia-aplicada")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem