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dlab-berkeley/Python-GPT-Fundamentals

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D-Lab's 2-hour introduction to Generative Pretrained Transformers (GPT) for beginners. Learn about text encoding, word embeddings, and the transformer architecture upon which GPT is based. Create texts using a GPT model with the Transformers library in Python, and learn about hyperparameters such as temperature.

active 2024-09-242025-10-24 (UTC)

Partial coverage15,407 / 18,999 hourly files (81%) · 2 absent upstream · 3,591 failed, retryable2024-06-112026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
18
Pushes
11
Pull requests
0
Issues
2
Stars
2
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 396 days from 2024-09-24 to 2025-10-24. Pushes: 11 total, peak 8 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 2 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
tomvannuenen111100
vhollingshead1000
hleegwater1000

Recent activity

Latest issues, pull requests and releases

  • Issue#3hleegwater2025-10-24 17:08
    Error when importing Word2Vec within "Training a Word Embeddings Model"T
  • Issue#2vhollingshead2025-06-10 22:02
    Mac compatible?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.