# omarsar/nlp_overview

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Repository: https://github.com/omarsar/nlp_overview
Canonical: https://ross.abutalabs.com/products/nlp_overview
Homepage: https://nlpoverview.com/
Language: CSS
License: MIT
License Family: permissive
Topics: nlp, deep-learning, word-embeddings, cnn, rnn, reinforcement-learning
Last push: 2020-03-25T08:23:44+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2874, "days_push": 2352, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1323, forks 197 (observed 2026-08-28T04:04:22.188362+00:00)

## What it is
An open-source overview of modern deep learning techniques applied to natural language processing, published as a website at nlpoverview.com. It covers theoretical descriptions and implementation details of models like RNNs, CNNs, and reinforcement learning, along with state-of-the-art results for NLP tasks.

## Use cases
- learn deep learning for nlp
- understand word embeddings and rnn models
- find state of the art results for nlp tasks
- study machine translation and question answering techniques
- introduction to deep learning based nlp
- reference for nlp research trends

## When to choose
- you want a curated, readable introduction to deep learning in NLP
- you need a summary of SOTA NLP results and benchmark datasets
- you are a researcher or student learning RNNs, CNNs, and embeddings for text

## When to avoid
- you need up-to-date coverage of transformer and LLM-era techniques (last release 2020)
- you want runnable code or a library rather than an educational overview
- you need a comprehensive textbook with exercises

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, deep-learning, machine-learning
- domain: deep-learning, machine-learning, tutorials
- platform: -
- tags: word-embeddings, rnn, cnn, reinforcement-learning, state-of-the-art, educational, nlp-overview, natural-language-processing, web-server

## Member repositories
- omarsar/nlp_overview (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:22.188362+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 2026-08-30T04:47:05.888538+00:00, confidence not recorded.
  - readme: https://github.com/omarsar/nlp_overview (fetched 2026-08-28T04:04:22.188362+00:00, sha 9ff0879aa8c9)
- Data as of 2026-08-30T08:39:29.467469+00:00.