This repository contains resources and templates for learning and implementing Markov Chains, specifically applied to text generation. It includes a Python class template for a basic Markov Chain model, a sample training text, and additional documentation explaining the concept of Markov Chains and their application in text generation.
active 2023-12-10 → 2023-12-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 19 days from 2023-12-10 to 2023-12-28. Pushes: 18 total, peak 12 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| pranavgupta2603 | 19 | 18 | 1 | 0 |
| RisingRedstone | 1 | 0 | 1 | 0 |
| kforkavya | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#2kforkavya2023-12-27 18:20Some Doubts
- Pull request#1pranavgupta26032023-12-19 17:38
- Pull request#1RisingRedstone2023-12-18 19:26
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.