Repository profile
Efficiently computes derivatives of NumPy code.
Repository updates
Get generated HIPS/autograd development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-07 03:15
6 captures since 2026-05-22
Stars from baseline +16
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-07 03:15
pyproject.toml
python ecosystem,
0 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
Source-to-Source Debuggable Derivatives in Pure Python
High-Performance Automatic Differentiation for Python
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
Fast, easy automatic differentiation in C++
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Solve automatic numerical differentiation problems in one or more variables.
403 Forbidden | https://api.github.com/repos/HIPS/autograd/readme | message=API rate limit exceeded for user ID 260990068. If you reach out to GitHub Support for help, please include the request ID 8A62:2893BD:19D3A09C:186FB865:6A4C6F3E and timestamp 2026-07-07 03:15:11 UTC. For more on scraping GitHub and how it may affect your rights, please review our Terms of Service (h | rate_limit_remaining=0 | rate_limit_reset=1783396811
