differentiable-optimization

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facebookresearch /theseus

Star2k

A library for differentiable nonlinear optimization

computer-vision deep-learning robotics pytorch levenberg-marquardt bilevel-optimization gauss-newton nonlinear-least-squares implicit-differentiation embodied-ai differentiable-optimization

UpdatedJan 16, 2025
Python

pnnl /neuromancer

Star1.2k

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

deep-learning pytorch constrained-optimization dynamical-systems control-systems nonlinear-dynamics nonlinear-optimization differentiable-programming physics-informed-ml differentiable-optimization differentiable-control

UpdatedNov 30, 2025
Python

metaopt /torchopt

Star618

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

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

UpdatedDec 1, 2025
Python

MIT-Lu-Lab /MPAX

Star118

Mathematical Programming in JAX

optimization first-order-methods mathematical-programming differentiable-optimization

UpdatedJun 2, 2025
Python

lppllppl920 /SAGE-SLAM

Star110

Official repo for the paper "SAGE: SLAM with Appearance and Geometry Prior for Endoscopy" (ICRA 2022)

deep-learning representation-learning slam 3d-reconstruction factor-graph endoscopy differentiable-optimization

UpdatedJan 9, 2023
C++

Weixy21 /BarrierNet

Star100

Safe robot learning

robot-learning end-to-end-learning visual-servoing safety-critical-systems control-barrier-functions differentiable-optimization

UpdatedNov 21, 2024
Python

princeton-computational-imaging /Delta-Prox

Star90

Official code repository for ∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization (SIGGRAPH TOG 2023)

compiler optimization proximal domain-specific-language proximal-algorithms differentiable-optimization delta-prox

UpdatedMar 27, 2024
Python

thowell /optimization_dynamics

Star65

Implementation and examples from Trajectory Optimization with Optimization-Based Dynamicshttps://arxiv.org/abs/2109.04928

control optimization dynamics rocket cartpole implicit hopper bilevel-optimization trajectory-optimization acrobot differentiable-optimization planar-push

UpdatedDec 13, 2022
Julia

michael-cummins /DeePC-Hunt

Star23

[L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.

control optimization regularization hyperparameter-tuning model-predictive-control predictive-control data-driven-control data-driven-predictive-control differentiable-optimization data-enabled-predictive-control

UpdatedSep 9, 2025
Python

atharvaaalok /geosimilarity

Star10

Differentiable curve and surface similarity measures.

curves pytorch autograd curve-fitting similarity-measures surfaces surface-fitting geometric-deep-learning shape-matching differentiable-optimization

UpdatedFeb 26, 2025
Python

EgoPer /Deterministic-Surrogates-for-Uncertain-Convex-QCQP

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Preliminary code for the paper "Learning Deterministic Surrogates for Robust Convex QCQPs".

robust-optimization differentiable-optimization quadratically-constrained-quadratic-programming decision-focused-learning

UpdatedMay 20, 2024
Jupyter Notebook

juliusberner /ddn_tutorial

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Tutorial on Deep Declarative Networks

tutorial deep-learning automatic-differentiation neural-networks differentiable-optimization

UpdatedMay 30, 2023
HTML

Ghost---Shadow /diff-bleu

Star0

A fully vectorized PyTorch implementation of BLEU scores optimized for training neural networks.

pytorch loss-functions bleu differentiable-programming differentiable-optimization large-language-models

UpdatedAug 24, 2025

rlnav /torchrobotics

Star0

Collection of differentiable methods for robotics applications implemented with Pytorch.

robotics-toolbox differentiable-optimization

UpdatedOct 1, 2024
Python

Ghost---Shadow /diff-rouge

Star0

A fully vectorized PyTorch implementation of ROUGE scores optimized for training neural networks.

pytorch rouge-metric loss-functions differentiable-programming differentiable-optimization large-language-models

UpdatedAug 23, 2025
Python

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differentiable-optimization

Here are 15 public repositories matching this topic...

facebookresearch /theseus

pnnl /neuromancer

metaopt /torchopt

MIT-Lu-Lab /MPAX

lppllppl920 /SAGE-SLAM

Weixy21 /BarrierNet

princeton-computational-imaging /Delta-Prox

thowell /optimization_dynamics

michael-cummins /DeePC-Hunt

atharvaaalok /geosimilarity

EgoPer /Deterministic-Surrogates-for-Uncertain-Convex-QCQP

juliusberner /ddn_tutorial

Ghost---Shadow /diff-bleu

rlnav /torchrobotics

Ghost---Shadow /diff-rouge

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