Alternatives and similar repositories for QPM

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

• m-schier / Explainable-RL-Dynamic-Mixture-Policies
  Official implementation of "Explainable Reinforcement Learning via Dynamic Mixture Policies"
  ☆16Updated 3 months ago
• creinders / hydra-slurm-rich-launcher
  A rich, visual interface for easily starting and monitoring your Hydra applications on SLURM clusters
  ☆15Updated last year
• ymahlau / albatross
  ☆22Updated last year
• vorausrobotik / voraus-ad-dataset
  The code for the voraus-AD dataset paper.
  ☆31Updated last year
• ThomasNorr / Q-SENN
  Code for the AAAI 2024 Paper "Q-SENN: Quantized Self-Explaining Neural Networks"
  ☆21Updated 6 months ago
• m-schier / CarEnv
  A simple to set up 2D automated vehicle gym env featuring random problem generation and dynamic observations.
  ☆14Updated 5 months ago
• m-schier / cms
  Official implementation of Constrained Mean Shift Clustering
  ☆12Updated 3 years ago
• creinders / ChimeraMix
  Official PyTorch implementation for ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing (IJCAI 2022)
  ☆14Updated last year
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆69Updated 3 months ago
• google / putting-dune
  ☆10Updated last year
• janosh / tensorboard-reducer
  Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.
  ☆74Updated 2 months ago
• xl0 / lovely-jax
  JAX Arrays for human consumption
  ☆106Updated 2 months ago
• khdlr / augmax
  Efficiently Composable Data Augmentation on the GPU with Jax
  ☆39Updated 3 months ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆112Updated 5 months ago
• vislearn / analyzing_inverse_problems
  Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)
  ☆98Updated 5 years ago
• automl / DEHB
  ☆88Updated 4 months ago
• CampusAI / Hamiltonian-Generative-Networks
  Re-implementation of Hamiltonian Generative Networks paper
  ☆33Updated 3 years ago
• QUVA-Lab / escnn
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆465Updated 10 months ago
• ComputationalRadiationPhysics / InFlow
  ☆11Updated 4 years ago
• toshas / torch_truncnorm
  Truncated Normal Distribution in PyTorch
  ☆84Updated last year
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆137Updated 2 months ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆140Updated 2 weeks ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆465Updated this week
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆92Updated last year
• lockwo / distreqx
  Distrax, but in equinox. Lightweight JAX library of probability distributions and bijectors.
  ☆38Updated 2 weeks ago
• braun-steven / simple-einet
  An implementation of EinsumNetworks in PyTorch.
  ☆22Updated 3 months ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆517Updated 4 months ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆69Updated 4 months ago
• flaport / torch_eunn
  A Pytorch implementation of an efficient unitary neural network (https://arxiv.org/abs/1612.05231)
  ☆33Updated 5 years ago
• facebookresearch / projUNN
  Fast training of unitary deep network layers from low-rank updates
  ☆28Updated 2 years ago