implicit-models

There are 0 repository under implicit-models topic.

• DiffEqML / torchdyn

  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

  deep-learningneural-networkneural-differential-equationspytorchdynamical-systemsdeep-equilibrium-modelsimplicit-modelscontrol-theoryneural-odenumerical-methods
  Language:Jupyter Notebook 1295

• Zymrael / awesome-neural-ode

  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

  deep-learningordinary-differential-equationsdynamical-systemsdynamical-modelingode-solverodehamiltonian-dynamicsimplicit-modelsroot-finding
  1219

• liu-jc / MGNNI

  The implementation of MGNNI: Multiscale Graph Neural Networks with Implicit Layers (NeurIPS 2022)

  graphgraph-convolutional-networksgraph-learninggraph-neural-networksimplicit-deep-learningimplicit-modelspytorch
  Language:Python 9

• zaccharieramzi / shine

  Code for the DEQ experiments of the ICLR 2022 spotlight "SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models"

  implicit-modelsbi-level-optimizationquasi-newton-methoddeep-learning
  Language:Python 7

• zaccharieramzi / hoag

  Code for the bi-level experiments of the ICLR 2022 paper "SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models" (on branch shine)

  implicit-modelsbi-level-optimizationquasi-newton-method
  Language:Python 6

• gutmanngroup / minebed

  Source code for Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation, ICML 2020, https://arxiv.org/abs/2002.08129

  bayesian-experimental-designimplicit-modelslikelihood-free-inference
  Language:Python 1

• d-dimos / thesis_ntua_sbim

  [ECE NTUA] 🎓 Diploma Thesis - Compressed Sensing MRI using Score-based Implicit Model (2022)

  diffusion-modelsmrideep-learningimplicit-modelsmachine-learningscore-based-modelsstochastic-differential-equations
  Language:Python 0

• gutmanngroup / bedimplicit

  Source code for "Efficient Bayesian Experimental Design for Implicit Models", AISTATS 2019, https://arxiv.org/abs/1810.09912

  bayesian-experimental-designexperimental-designimplicit-modelslikelihood-free-inference
  Language:Python 0

• gutmanngroup / GradBED

  Code for the paper "Gradient-Based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds" https://arxiv.org/abs/2105.04379

  bayesian-experimental-designimplicit-modelslikelihood-free-inference
  Language:Python 0

• gutmanngroup / idad

  Python code for "Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods", NeurIPS, 2021, https://proceedings.neurips.cc/paper/2021/hash/d811406316b669ad3d370d78b51b1d2e-Abstract.html

  adaptive-designbayesian-experimental-designimplicit-modelslikelihood-free-inference
  Language:Python 0

• gutmanngroup / seqbed

  Code for the paper "Sequential Bayesian Experimental Design for Implicit Models via Mutual Information", Bayesian Analysis 2021, https://arxiv.org/abs/2003.09379.

  bayesian-experimental-designlikelihood-freeimplicit-models
  Language:Python 0