Enderdead's Stars
GerbenBeintema/metaSS-code-repo
The code used to generate the result in "Meta-State-Space Learning: An Identification Approach for Stochastic Dynamical Systems".
forgi86/pytorch-ident
System identification in PyTorch
bonassifabio/ssnet
A PyTorch module for learning stable RNN models of dynamical systems
huggingface/optimum-quanto
A pytorch quantization backend for optimum
dmadras/local-ensembles
"Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour
marco-ragusa/ghostfolio-feeder
Ghostfolio-feeder extends Ghostfolio by adding market data via internal APIs
Lorenzo-Perini/Confidence_AD
Estimation of the confidence measure for anomaly detectors, as explained in the paper "Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions" (ECML-PKDD 2020).
RWTH-EBC/DDMPC
mazenalamir/MPC_tuner
A python package for the optimization of NMPC implementation options
IBM/simulai
A toolkit with data-driven pipelines for physics-informed machine learning.
uniuuu/zotprime
Fully packaged on-premise Zotero platform
cog-imperial/OMLT
Represent trained machine learning models as Pyomo optimization formulations
4flixt/2022_BLL_MPC_Materials
TUM-AAS/ml-casadi
Use PyTorch Models with CasADi and Acados
xduan7/dl-project-template
A lightweight yet functional project template for various deep learning projects.
cwfparsonson/retro_branching
Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.
garrettj403/SciencePlots
Matplotlib styles for scientific plotting
ghostfolio/ghostfolio
Open Source Wealth Management Software. Angular + NestJS + Prisma + Nx + TypeScript 🤍
INFERLab/Gnu-RL
A precocial reinforcement learning solution for HVAC control
ibpsa/project1-boptest
Building Optimization Performance Tests
forgi86/sysid-neural-structures-fitting
Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dario Piga.
Purecontrol/purestochastic
Adaptation of tensorflow package for uncertainty quantification in deep learning
seaveredge/deepSI
Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)
GerbenBeintema/deepSI
Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)
TheoGuyard/El0ps.jl
An Exact L0-penalized Problem Solver.
EDF-Lab/BuildSysPro
BuildSysPro open source: EDF's Modelica library for buildings, districts and energy systems modelling
facebookresearch/SingleModelUncertainty
Learning error bars for neural network predictions
yngvem/group-lasso
Group Lasso implementation following the scikit-learn API
Pyomo/pyomo
An object-oriented algebraic modeling language in Python for structured optimization problems.
rymc/n2d
A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.