Alternatives and similar repositories for torchswarm:

Users that are interested in torchswarm are comparing it to the libraries listed below

• stefanradev93 / cINN
  Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"
  ☆21Updated 4 years ago
• ShuaiGuo16 / Gaussian-Process
  Implementing a Gaussian Process regression model from scratch
  ☆22Updated 4 years ago
• wiseodd / lula
  Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).
  ☆19Updated 3 years ago
• xuwd11 / Dropout_Tutorial_in_PyTorch
  Dropout as Regularization and Bayesian Approximation
  ☆57Updated 6 years ago
• ahmedfgad / TorchGA
  Train PyTorch Models using the Genetic Algorithm with PyGAD
  ☆97Updated 4 months ago
• facebookresearch / robust_mobo
  Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"
  ☆54Updated 2 years ago
• anvinhnguyendinh / InferencePGMbyGNN
  A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf
  ☆14Updated 5 years ago
• chao1224 / Loss-Balanced-Task-Weighting
  Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning, AAAI-SA'19
  ☆29Updated 5 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆115Updated last year
• Mind-the-Pineapple / sklearn-rvm
  An sklearn style implementation of the Relevance Vector Machine (RVM).
  ☆24Updated 4 years ago
• georgosgeorgos / graph-signal-reconstruction
  Signal recovery and sampling over graphs
  ☆14Updated 6 years ago
• bwohlberg / sporco-cuda
  CUDA extension for the SPORCO project
  ☆18Updated 3 years ago
• swing-research / deepmesh
  Random Mesh Projectors for Inverse Problems
  ☆24Updated 3 years ago
• xbresson / IPAM_Tutorial_2019
  Notebooks for IPAM Tutorial, March 15 2019
  ☆24Updated 5 years ago
• pengyan510 / torcheck
  ☆38Updated 2 years ago
• distillpub / post--bayesian-optimization
  Exploring Bayesian Optimization
  ☆73Updated 3 years ago
• ppgaluzio / MOBOpt
  Multi-objective Bayesian optimization
  ☆84Updated last year
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆72Updated 2 years ago
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆42Updated 3 years ago
• juliusberner / deep_kolmogorov
  Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
  ☆22Updated 2 years ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 2 years ago
• aGIToz / Graph_Signal_Processing
  Signal processing on graphs using torch_geometric.
  ☆14Updated 2 years ago
• ebekkers / gsplinets
  B-Spline CNNs on Lie groups
  ☆53Updated 5 years ago
• QUVA-Lab / COMBO
  ☆48Updated 6 months ago
• neel-dey / equivariant-gans
  [ICLR 2021] Group Equivariant Generative Adversarial Networks.
  ☆13Updated 3 years ago
• GeorgeKyriakides / nord
  Deep neural architecture research framework
  ☆12Updated last year
• holl- / PDE-Control
  Code for the ICLR 2020 paper "Learning to Control PDEs"
  ☆32Updated 4 years ago
• haguettaz / ChebLieNet
  ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.
  ☆16Updated 6 months ago
• Himscipy / bnn_hvd
  Distributed Training of Bayesian Neural Networks at Scale
  ☆11Updated 4 years ago