Enderdead

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".

  Language:Jupyter Notebook1

• forgi86/pytorch-ident

  System identification in PyTorch

  Language:Python222

• bonassifabio/ssnet

  A PyTorch module for learning stable RNN models of dynamical systems

  Language:Python3

• huggingface/optimum-quanto

  A pytorch quantization backend for optimum

  Language:Python74354

• dmadras/local-ensembles

  "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour

  Language:Jupyter Notebook13

• marco-ragusa/ghostfolio-feeder

  Ghostfolio-feeder extends Ghostfolio by adding market data via internal APIs

  Language:Python65

• 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).

  Language:Jupyter Notebook12

• RWTH-EBC/DDMPC

  Language:Python114

• mazenalamir/MPC_tuner

  A python package for the optimization of NMPC implementation options

  Language:Python41

• IBM/simulai

  A toolkit with data-driven pipelines for physics-informed machine learning.

  Language:Python15823

• uniuuu/zotprime

  Fully packaged on-premise Zotero platform

  Language:PHP625

• cog-imperial/OMLT

  Represent trained machine learning models as Pyomo optimization formulations

  Language:Python26157

• 4flixt/2022_BLL_MPC_Materials

  Language:Jupyter Notebook7

• TUM-AAS/ml-casadi

  Use PyTorch Models with CasADi and Acados

  Language:Python19026

• xduan7/dl-project-template

  A lightweight yet functional project template for various deep learning projects.

  Language:Python8

• cwfparsonson/retro_branching

  Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.

  Language:Jupyter Notebook3213

• garrettj403/SciencePlots

  Matplotlib styles for scientific plotting

  Language:Python6.9k699

• ghostfolio/ghostfolio

  Open Source Wealth Management Software. Angular + NestJS + Prisma + Nx + TypeScript 🤍

  Language:TypeScript4.1k392

• INFERLab/Gnu-RL

  A precocial reinforcement learning solution for HVAC control

  Language:Jupyter Notebook5124

• ibpsa/project1-boptest

  Building Optimization Performance Tests

  Language:Modelica10569

• 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.

  Language:Python195

• Purecontrol/purestochastic

  Adaptation of tensorflow package for uncertainty quantification in deep learning

  Language:Python5

• seaveredge/deepSI

  Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)

  Language:Python21

• GerbenBeintema/deepSI

  Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)

  Language:Python4116

• TheoGuyard/El0ps.jl

  An Exact L0-penalized Problem Solver.

  Language:Julia3

• EDF-Lab/BuildSysPro

  BuildSysPro open source: EDF's Modelica library for buildings, districts and energy systems modelling

  Language:Modelica4222

• facebookresearch/SingleModelUncertainty

  Learning error bars for neural network predictions

  Language:Python6815

• yngvem/group-lasso

  Group Lasso implementation following the scikit-learn API

  Language:Python10532

• Pyomo/pyomo

  An object-oriented algebraic modeling language in Python for structured optimization problems.

  Language:Python2k504

• 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.

  Language:Python12521