Alternatives and similar repositories for cuTAGI

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

• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• jambo6 / neuralRDEs
  Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
  ☆120Updated 4 years ago
• google-deepmind / enn
  ☆312Updated 8 months ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆130Updated 3 years ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆91Updated 2 years ago
• bhoov / hamux
  Hierarchical Associative Memory User Experience
  ☆104Updated 2 weeks ago
• aradha / recursive_feature_machines
  ☆59Updated 7 months ago
• ludwigwinkler / JaxLightning
  Running Jax in PyTorch Lightning
  ☆114Updated 11 months ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆180Updated 3 years ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆145Updated 2 weeks ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆122Updated 3 years ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆81Updated last year
• paganpasta / eqxvision
  A Python package of computer vision models for the Equinox ecosystem.
  ☆110Updated last year
• cgarciae / nnx
  Neural Networks for JAX
  ☆84Updated last year
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆69Updated 6 months ago
• TyXe-BDL / TyXe
  ☆155Updated 3 years ago
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆78Updated 2 years ago
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆72Updated 2 years ago
• google-deepmind / neural_testbed
  ☆192Updated 5 months ago
• google-research / hyperbo
  Pre-trained Gaussian processes for Bayesian optimization
  ☆97Updated 7 months ago
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated 3 weeks ago
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆94Updated 2 months ago
• siboehm / NormalizingFlowNetwork
  Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982
  ☆22Updated 4 years ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆310Updated 5 months ago
• DarshanDeshpande / jax-models
  Unofficial JAX implementations of deep learning research papers
  ☆159Updated 3 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆94Updated last year
• leopard-ai / betty
  Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
  ☆344Updated last year
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆75Updated 3 years ago
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆53Updated 4 years ago
• pyhopper / pyhopper
  PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.
  ☆86Updated last year