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Actually Robust Training - Tool Inspired by Andrej Karpathy "Recipe for training neural networks". It allows you to decompose your Deep Learning pipeline into modular and insightful "Steps". Additionally it has many features for testing and debugging neural nets.

active 2023-08-20 → 2023-11-18 (UTC)

Partial coverage21,498 / 26,307 hourly files (82%) · 2 absent upstream · 4,808 failed, retryable2023-08-15 → 2026-08-15 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
464
Pushes
67
Pull requests
33
Issues
116
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 91 days from 2023-08-20 to 2023-11-18. Pushes: 67 total, peak 17 in a day. Pull requests: 33 total, peak 8 in a day. Issues: 116 total, peak 17 in a day. Comments: 132 total, peak 32 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

ContributorContributionsPushesPRsComments
kordc210371668
SebChw114141133
trebacz626685224
mmaecki321146
alex-treebeard1001

Recent activity

Latest issues, pull requests and releases

  • Issue#163kordc2023-11-17 19:23
    Add tutorial using just Lightning Module
  • Issue#162kordc2023-11-17 19:23
    Change the steps naming in folders
  • Issue#162kordc2023-11-17 19:19
    Change the steps naming in folders
  • Issue comment#157kordc2023-11-17 19:06
    Flatten the entire project structure
  • Issue#157kordc2023-11-17 19:06
    Flatten the entire project structure
  • Issue comment#154kordc2023-11-17 19:03
    Write a step "Train"
  • Issue#141kordc2023-11-17 19:03
    Don't force user to create new model for every step
  • Issue#133kordc2023-11-17 19:02
    Reduce our dependencies.
  • Issue#100kordc2023-11-17 19:01
    Remove prints() Introduce logging
  • Issue comment#120kordc2023-11-17 19:01
    Tutorial on transfer learning
  • Issue#120kordc2023-11-17 19:01
    Tutorial on transfer learning
  • Issue comment#113kordc2023-11-17 19:00
    Add examples to finetune, overfit etc.
  • Issue#113kordc2023-11-17 19:00
    Add examples to finetune, overfit etc.
  • Issue#111kordc2023-11-17 18:59
    Change set visualization name
  • Issue comment#97kordc2023-11-17 18:59
    Make experiment sharable with other people
  • Issue comment#153kordc2023-11-17 18:58
    Create an explaination on MetricCalculator
  • Issue#153kordc2023-11-17 18:58
    Create an explaination on MetricCalculator
  • Issue#161kordc2023-11-17 18:42
    Change the passing information
  • Pull request#160kordc2023-11-17 18:32
  • Pull request#158SebChw2023-11-17 12:52
  • Pull request#159SebChw2023-11-17 12:17
  • Pull request#159trebacz6262023-11-17 00:46
  • Issue comment#149kordc2023-11-15 22:27
    Change setvizualization name closes #111
  • Issue#156kordc2023-11-14 23:24
    Add CRTL-C handling and unexpected errors
  • Issue comment#133mmaecki2023-11-14 21:13
    Reduce our dependencies.

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.