# RubensZimbres/Repo-2017

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Repository: https://github.com/RubensZimbres/Repo-2017
Canonical: https://ross.abutalabs.com/products/repo-2017
Language: Python
License Family: other
Topics: anomaly-detection, deep-learning, autoencoder, keras, keras-models, denoising-autoencoders, generative-adversarial-network, glove, keras-layer, word2vec, nlp, natural-language-processing, sentiment-analysis, opencv, segnet, resnet-50, variational-autoencoder, t-sne, svm-classifier, latent-dirichlet-allocation
Last push: 2021-12-06T22:14:24+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3546, "days_push": 1731, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1191, forks 667 (observed 2026-08-28T04:03:56.082265+00:00)

## What it is
A personal collection of Python example scripts covering machine learning, deep learning, NLP, and reinforcement learning, built with Keras, Theano, and Lasagne. It serves as a reference codebase of models such as autoencoders, GANs, CNNs, and classifiers rather than a reusable library.

## Use cases
- learn deep learning with keras example code
- find example gan implementation in python
- study nlp sentiment analysis code samples
- see autoencoder examples for audio and images
- reference reinforcement learning hyperparameter tuning
- explore word2vec and glove usage examples

## When to choose
- you want readable example scripts for learning ML and DL concepts
- you need reference implementations of autoencoders, GANs, or NLP models in Keras
- you are studying older Theano/Lasagne codebases

## When to avoid
- you need a production-ready library or maintained package
- you require current Keras/TensorFlow 2.x APIs since code targets keras 1.1.0
- you need a licensed, supported dependency in your project

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, nlp, data-science
- domain: machine-learning, deep-learning, data-science
- platform: python
- tags: keras, theano, lasagne, example-code, tutorials, autoencoders, gan, word2vec, sentiment-analysis, reinforcement-learning, natural-language-processing

## Member repositories
- RubensZimbres/Repo-2017 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:56.082265+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:22:41.022759+00:00, confidence not recorded.
  - readme: https://github.com/RubensZimbres/Repo-2017 (fetched 2026-08-28T04:03:56.082265+00:00, sha bbd4cfa5f983)
- Data as of 2026-08-30T08:39:29.467469+00:00.