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#automatic-differentiation

Todos los repositorios del registro público que llevan esta etiqueta, procedente de sus topics de GitHub o de las palabras clave que publican sus registros de paquetes. La salud se mide con la misma metodología versionada que el resto del registro.

15 registros
Con la etiqueta «automatic-differentiation»Ordenado por índice de salud
PyPI
98Excepcionalíndice de salud
PennyLaneAI/pennylane
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Python★ 340413 ago 2026
Apache-2.013 ago 2026 · métricas 2.10.0
PyPI
95Excepcionalíndice de salud
HIPS/autograd
Efficiently computes derivatives of NumPy code.
Python★ 7523↓ 5.1M/mes28 ago 2026
MIT28 ago 2026 · métricas 2.10.0
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94Excepcionalíndice de salud
SciML/Optimization.jl
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
Julia★ 83117 jul 2026
MIT17 jul 2026 · métricas 2.10.0
PyPI
94Excepcionalíndice de salud
stack-of-tasks/pinocchio
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
C++★ 365013 ago 2026
BSD-2-Clause13 ago 2026 · métricas 2.10.0
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88Excelenteíndice de salud
EnzymeAD/Enzyme
High-performance automatic differentiation of LLVM and MLIR.
LLVM · C++★ 164818 jul 2026
Licencia propia18 jul 2026 · métricas 2.10.0
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88Excelenteíndice de salud
SciML/PreallocationTools.jl
Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes
Julia★ 12717 jul 2026
Licencia propia17 jul 2026 · métricas 2.10.0
Go
86Excelenteíndice de salud
born-ml/born
Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.
Go★ 12114 ago 2026
Apache-2.014 ago 2026 · métricas 2.10.0
—
84Excelenteíndice de salud
FluxML/Zygote.jl
21st century AD
Julia★ 156825 ago 2026
Licencia propia25 ago 2026 · métricas 2.10.0
crates.io · PyPI
77Buenoíndice de salud
itt-ustutt/num-dual
Generalized (hyper-) dual numbers in rust
Rust★ 93↓ 25.4K/mes29 jul 2026
Apache-2.029 jul 2026 · métricas 2.10.0
PyPI
75Buenoíndice de salud
tensorcircuit/tensorcircuit-ng
Next-gen AI-native tensor-network-based quantum software framework
Python★ 87↓ 2149/mes22 ago 2026
Apache-2.022 ago 2026 · métricas 2.10.0
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69Buenoíndice de salud
JuliaDiff/TaylorSeries.jl
Taylor polynomial expansions in one and several independent variables.
Julia · TeX★ 38616 ago 2026
Licencia propia16 ago 2026 · métricas 2.10.0
PyPI · crates.io
69Buenoíndice de salud
VolkovIlia/semiflow
Fast no_std Rust library for evolution equations and PDEs via Chernoff approximation of operator semigroups — heat, Schrödinger, diffusion, graph & manifold operators. Bindings for C, Python, and WebAssembly.
Rust · Python★ 3↓ 698/mes6 sept 2026
Apache-2.06 sept 2026 · métricas 2.10.0
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65Buenoíndice de salud
adrhill/SparseConnectivityTracer.jl
Fast operator-overloading Jacobian & Hessian sparsity pattern detection.
Julia★ 5817 jul 2026
MIT17 jul 2026 · métricas 2.10.0
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62Moderadoíndice de salud
JuliaDiff/ChainRulesCore.jl
AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.
Julia★ 26726 jul 2026
Licencia propia26 jul 2026 · métricas 2.10.0
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60Moderadoíndice de salud
JuliaDiff/TaylorDiff.jl
Taylor-mode automatic differentiation for higher-order derivatives
Julia★ 836 ago 2026
MIT6 ago 2026 · métricas 2.10.0