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
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
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
- readme: https://github.com/unipds-engenharia-de-ia-aplicada/engenharia-de-software-com-ia-aplicada · fetched 2026-09-03 · d4bb57d2cd90
- homepage: https://unipds.com.br/org-erick-wendel/?utm_source=github&utm_medium=bio&utm_campaign=bolsa_47&utm_term=&utm_content=perfil_erick · fetched 2026-08-29 · 295694cecd5a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| unipds-engenharia-de-ia-aplicada/engenharia-de-software-com-ia-aplicada | main | 60 |
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