Alternatives and similar repositories for scikit-ntk

Users that are interested in scikit-ntk are comparing it to the libraries listed below

• rgklab / StructuredNNs
  Structured Neural Networks
  ☆14Updated last year
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆42Updated 2 years ago
• LaurenceA / bayesfunc
  ☆15Updated 2 years ago
• msesia / chr
  Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
  ☆22Updated 3 years ago
• JeremiasKnoblauch / GVIPublic
  Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
  ☆20Updated 6 years ago
• aradha / recursive_feature_machines
  ☆51Updated last month
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆57Updated 3 months ago
• jongharyu / neural-svd
  ☆16Updated 8 months ago
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆66Updated 2 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆87Updated 3 years ago
• joneswack / dp-rfs
  This repository contains PyTorch implementations of various random feature maps for dot product kernels.
  ☆21Updated 10 months ago
• eepperly / Randomly-Pivoted-Cholesky
  Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"
  ☆28Updated 7 months ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆49Updated last year
• tijana-zrnic / active-inference
  ☆14Updated last year
• Harshs27 / neural-graphical-models
  Neural Graphical models are neural network based graphical models that offer richer representation, faster inference & sampling
  ☆29Updated last year
• pilancilab / scnn
  Scalable Convex Neural Networks
  ☆24Updated last month
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆54Updated 10 months ago
• gauravdhama / eigengame_deepmind
  A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium
  ☆21Updated 3 years ago
• dpernes / deepsets-digitsum
  Sum of handwritten digits using Deep Sets, implemented in PyTorch.
  ☆21Updated 6 years ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated 2 years ago
• drewprinster / conformal-mfcs
  Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…
  ☆27Updated 11 months ago
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆66Updated 11 months ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆28Updated 2 years ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆42Updated 10 months ago
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated 4 months ago
• isgibbs / DtACI
  ☆17Updated last month
• AaltoML / scalable-inference-in-sdes
  Methods and experiments for assumed density SDE approximations
  ☆12Updated 3 years ago
• KindXiaoming / Omnigrok
  Omnigrok: Grokking Beyond Algorithmic Data
  ☆58Updated 2 years ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 2 years ago
• gd-vae / gd-vae
  Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …
  ☆30Updated 3 weeks ago