metaopt/torchopt

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

628 42 +0/wk

GitHub ✦ New Signal

automatic-differentiation bilevel-optimization deep-learning differentiable-optimization differentiable-programming functional-programming implicit-differentiation meta-learning meta-reinforcement-learning meta-rl optimization optimizer

Trend 0

Trend chart will populate as more hourly snapshots are collected.

Currently 1 snapshot(s) — need at least 2 for a chart.

Multi-Source Signals

GitHub

stars 628

forks 42

Growth Velocity

metaopt/torchopt has +0 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	torchopt	siamese-fc	LiteFlowNet	AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
Stars	628	628	629	627
Forks	42	219	105	110
Weekly Growth	+0	-1	+0	+0
Language	Python	MATLAB	C++	Jupyter Notebook
Sources	1	1	1	1
License	Apache-2.0	MIT	NOASSERTION	MIT

Capability Radar vs siamese-fc

torchopt

siamese-fc

Maintenance Activity 100

Last code push 2 days ago.

Community Engagement 33

Fork-to-star ratio: 6.7%. Lower fork ratio may indicate passive usage.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under Apache-2.0. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.