# christianversloot/machine-learning-articles

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Repository: https://github.com/christianversloot/machine-learning-articles
Canonical: https://ross.abutalabs.com/products/machine-learning-articles
License Family: other
Topics: machine-learning, deep-learning, neural-networks, tensorflow, pytorch, scikit-learn, convolutional-neural-networks, gan, gans, transformers, huggingface-transformers, dbscan, clustering, bert, gpt, albert, keras, keras-tensorflow, pytorch-implementation, pytorch-tutorial
Last push: 2024-06-28T07:41:35+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": 1660, "days_push": 796, "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 3695, forks 762 (observed 2026-08-28T04:08:14.849538+00:00)

## What it is
An archived collection of machine learning articles originally published on MachineCurve.com between 2019 and 2022, covering topics like neural networks, CNNs, GANs, transformers, and frameworks such as TensorFlow, PyTorch, and Keras. It is preserved for public reading and is no longer updated.

## Use cases
- learn how convolutional neural networks work
- find a tutorial for building a GAN in PyTorch
- understand transformer models like BERT and GPT
- get started with Keras and TensorFlow for deep learning
- learn DBSCAN clustering concepts
- read explanations of loss functions and optimizers

## When to choose
- you want free, in-depth conceptual explanations of ML and deep learning topics
- you need framework-specific tutorials for TensorFlow, Keras, or PyTorch
- you are looking for archived educational content on transformers and GANs

## When to avoid
- you need up-to-date content reflecting current library versions and best practices
- you want a maintained course or interactive learning platform
- you need runnable, tested code rather than article-style explanations

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, deep-learning, nlp
- domain: machine-learning, deep-learning, tutorials
- platform: python
- tags: articles, machinecurve, tensorflow, pytorch, keras, transformers, neural-networks, tutorials, archived, natural-language-processing

## Member repositories
- christianversloot/machine-learning-articles (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:14.849538+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 2026-08-29T18:31:05.263284+00:00, confidence not recorded.
  - readme: https://github.com/christianversloot/machine-learning-articles (fetched 2026-08-28T04:08:14.849538+00:00, sha b0643097c2ad)
- Data as of 2026-08-30T08:39:29.467469+00:00.