# llSourcell/tensorflow_chatbot

Tensorflow chatbot demo by @Sirajology on Youtube

Repository: https://github.com/llSourcell/tensorflow_chatbot
Canonical: https://ross.abutalabs.com/products/tensorflow_chatbot
Language: Python
License Family: other
Last push: 2022-07-23T20:04:42+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": 3561, "days_push": 1502, "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 1438, forks 784 (observed 2026-08-28T04:04:43.862498+00:00)

## What it is
Demo code accompanying a YouTube tutorial that trains a TensorFlow sequence-to-sequence chatbot on the Cornell Movie Dialogue dataset. It is educational example code, not a production library.

## Use cases
- learn how to build a seq2seq chatbot in tensorflow
- train a chatbot on cornell movie dialogues
- tutorial example of sequence to sequence models
- starting point for building a conversational bot
- understand how chatbots work with deep learning

## When to choose
- you want to follow along with the Sirajology video tutorial
- you need a minimal, readable seq2seq chatbot example
- you are learning deep learning concepts with old TensorFlow r0.12

## When to avoid
- you need a production chatbot or maintained framework
- you use modern TensorFlow or PyTorch versions
- you need a license permitting reuse of the code

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: chatbot, machine-learning, deep-learning, nlp
- domain: chatbots, deep-learning, tutorials
- platform: python
- tags: seq2seq, tensorflow, demo-code, youtube-tutorial, cornell-movie-dialogs, natural-language-processing

## Member repositories
- llSourcell/tensorflow_chatbot (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:43.862498+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 2026-08-30T04:36:40.506472+00:00, confidence not recorded.
  - readme: https://github.com/llSourcell/tensorflow_chatbot (fetched 2026-08-28T04:04:43.862498+00:00, sha 3598e3c2d8d0)
- Data as of 2026-08-30T08:39:29.467469+00:00.