Pinned Repositories
ConfigData
CppADCodeGen
Source Code Generation for Automatic Differentiation using Operator Overloading
Ipopt-torch
COIN-OR Interior Point Optimizer IPOPT
janus-ai
janus-linear
Set of linear algebraic solver implemented using dual number utilizing janus-dual
janus-nlp
Non linear solvers using dual tensors.
janus-ode
ODE solvers based on efficient dual tensors implemented to operate in a data parallel manner
janus-tensor-dual
Implementation of dual numbers using PyTorch libtorch and following PyTorch syntax
LIGHTGBM-SMAC
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
pytorch-GAT
Variation of the GAT network for applications to optimal control
optstat's Repositories
optstat/ConfigData
optstat/CppADCodeGen
Source Code Generation for Automatic Differentiation using Operator Overloading
optstat/Ipopt-torch
COIN-OR Interior Point Optimizer IPOPT
optstat/janus-ai
optstat/janus-linear
Set of linear algebraic solver implemented using dual number utilizing janus-dual
optstat/janus-nlp
Non linear solvers using dual tensors.
optstat/janus-ode
ODE solvers based on efficient dual tensors implemented to operate in a data parallel manner
optstat/janus-tensor-dual
Implementation of dual numbers using PyTorch libtorch and following PyTorch syntax
optstat/LIGHTGBM-SMAC
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
optstat/pytorch-GAT
Variation of the GAT network for applications to optimal control
optstat/pytorch-ps
Pseudospectral utility methods adapted for use in the pytorch framework.
optstat/scikit-learn
scikit-learn: machine learning in Python
optstat/torchdiffeq-dual
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
optstat/unbalanced-ot-functionals
It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. It relies on a pytorch backend.