Alternatives and similar repositories for lin-RFM:

Users that are interested in lin-RFM are comparing it to the libraries listed below

• aradha / deep_neural_feature_ansatz
  Code for verifying deep neural feature ansatz
  ☆17Updated 2 years ago
• aradha / recursive_feature_machines
  ☆49Updated 3 weeks ago
• joneswack / dp-rfs
  This repository contains PyTorch implementations of various random feature maps for dot product kernels.
  ☆21Updated 9 months ago
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆49Updated 3 months ago
• rfeinman / pytorch-lasso
  L1-regularized least squares with PyTorch
  ☆67Updated 2 years ago
• cyz-ai / infomin
  Official codes for Scalable Infomin Learning, NeurIPS 2022
  ☆13Updated 2 years ago
• mcbal / afem
  Implementation of approximate free-energy minimization in PyTorch
  ☆19Updated 3 years ago
• necludov / jam
  Implementation of Action Matching
  ☆41Updated last year
• jongharyu / neural-svd
  ☆16Updated 7 months ago
• aradha / agop_feature_learning
  ☆13Updated last year
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆42Updated 2 years ago
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆46Updated 2 years ago
• cyz-ai / neural-approx-ss-lfi
  Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models
  ☆19Updated 2 years ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆49Updated last year
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆38Updated 3 weeks ago
• benrhodes26 / tre_code
  ☆23Updated 3 years ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆77Updated 11 months ago
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago
• federicobergamin / riemannian-laplace-approximation
  Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"
  ☆11Updated last year
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆24Updated 2 years ago
• JeremiasKnoblauch / GVIPublic
  Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
  ☆20Updated 6 years ago
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆24Updated 2 years ago
• clarafy / conformal-for-design
  ☆30Updated 2 years ago
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 2 years ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆38Updated 2 years ago
• EigenPro / EigenPro3
  ☆23Updated last year
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆65Updated last month
• Comp-Foundations-and-Barriers-of-AI / firenet
  Can stable and accurate neural networks be computed? - On the barriers of deep learning and Smale's 18th problem
  ☆14Updated 4 years ago
• sandialabs / pyttb
  Python Tensor Toolbox
  ☆33Updated 3 weeks ago