# rockingdingo/deepnlp

Deep Learning NLP Pipeline implemented on Tensorflow

Repository: https://github.com/rockingdingo/deepnlp
Canonical: https://ross.abutalabs.com/products/deepnlp
Language: Python
License: MIT
License Family: permissive
Last push: 2024-10-11T16:02:55+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": 3597, "days_push": 691, "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 1358, forks 696 (observed 2026-08-28T04:04:29.590327+00:00)

## What it is
DeepNLP is a deep learning NLP pipeline implemented on TensorFlow, distributed as a Python package, which has evolved into the DeepNLP AI Store - a platform for user reviews, ratings, and human evaluations of AI services like ChatGPT, Midjourney, and image generators. The store aggregates multi-aspect ratings across 30+ categories of AI use cases.

## Use cases
- find reviews and ratings of AI image generators
- read human evaluations of chatbots like ChatGPT and Gemini
- compare AI services by category such as healthcare or finance
- run a deep learning NLP pipeline in TensorFlow
- train NLP models for text classification and sequence tagging

## When to choose
- you want user-perspective reviews and multi-aspect ratings of AI apps and services
- you need a TensorFlow-based NLP pipeline for classic deep learning NLP tasks
- you want to browse AI tools by domain like travel, law, or education

## When to avoid
- you need state-of-the-art LLM inference or fine-tuning tooling
- you want a maintained, well-documented NLP library - the core pipeline is dated and the project focus has shifted to the review website
- you need production-grade NLP with modern transformer support

## Facets
- artifact type: application
- maturity: active
- function: nlp, machine-learning, analytics
- domain: artificial-intelligence, chatbots, analytics
- platform: python, cross-platform
- tags: tensorflow, ai-reviews, ai-app-store, llm-evaluation, text-classification, ner, pypi-package, natural-language-processing, web-server

## Member repositories
- rockingdingo/deepnlp (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:29.590327+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 2026-08-30T04:41:47.008878+00:00, confidence not recorded.
  - readme: https://github.com/rockingdingo/deepnlp (fetched 2026-08-28T04:04:29.590327+00:00, sha 404ffda54027)
  - registry_pypi: https://pypi.org/pypi/deepnlp/json (fetched 2026-08-29T11:59:48.483061+00:00, sha f85d921be41d)
- Data as of 2026-08-30T08:39:29.467469+00:00.