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A Python deep learning framework with lazy evaluation, automatic differentiation, and a PyTorch-like API. Features include neural network modules, data loading, training utilities, model serving, and integrations with MLflow, W&B, ONNX, and Jupyter.

active 2026-01-102026-01-31 (UTC)

Partial coverage11,529 / 12,593 hourly files (92%) · 2 absent upstream · 1,060 failed, retryable2025-03-042026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
39
Pushes
17
Pull requests
0
Issues
2
Stars
16
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 22 days from 2026-01-10 to 2026-01-31. Pushes: 17 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 1 total, peak 1 in a day. Stars: 16 total, peak 10 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
CTO92201701

Recent activity

Latest issues, pull requests and releases

  • Issue#2CTO922026-01-29 23:11
    Cannot compile
  • Issue comment#2CTO922026-01-29 23:11
    Cannot compile
  • Issue#1CTO922026-01-18 00:12
    Transforms.py needs functionality

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 16 stars here means stars gained during the window, not the repo's star count.