Alternatives and similar repositories for pacbb

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

• Ferg-Lab / mfGPR
  Multi-fidelity Gaussian Process Regression
  ☆13Updated 2 years ago
• CTF-for-Science / ctf4science
  Welcome to the CTF for Science Framework, a modular and extensible platform designed for benchmarking modeling methods on dynamic systems…
  ☆36Updated last week
• Mu-DS / practical_training
  Material for the MUDS Practical Data Science Training
  ☆15Updated 5 years ago
• markovalexander / DVI
  ☆13Updated 6 years ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆465Updated last year
• jax-md / jax-md
  Differentiable, Hardware Accelerated, Molecular Dynamics
  ☆1,370Updated 2 weeks ago
• analysiscenter / pydens
  PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
  ☆312Updated last year
• thomaspinder / GPJax
  Gaussian processes in JAX and Flax.
  ☆579Updated this week
• EmuKit / emukit
  A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…
  ☆643Updated last month
• edwisdom / bnn-hmc
  Bayesian neural nets trained with Hamiltonian Monte Carlo
  ☆10Updated 7 years ago
• leojklarner / gauche
  A Library for Gaussian Processes in Chemistry
  ☆249Updated last year
• llsc-supercloud / teaching-examples
  Examples for use in teaching HPSC workflows, from how to successfully parallelize code, to how to submit that code on an HPC system.
  ☆38Updated last year
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆123Updated last month
• JR-1991 / Catalax
  🏍️ - JAX-based framework to model biological systems
  ☆17Updated 3 weeks ago
• sbi-dev / sbi
  sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…
  ☆781Updated last week
• experimental-design / bofire
  Experimental design and (multi-objective) bayesian optimization.
  ☆358Updated this week
• Crunch-UQ4MI / neuraluq
  ☆200Updated 10 months ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆534Updated 9 months ago
• pdearena / pdearena
  ☆288Updated last year
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆147Updated last year
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆280Updated 2 years ago
• gngdb / pytorch-minimize
  Use scipy.optimize.minimize as a PyTorch Optimizer.
  ☆74Updated last year
• noegroup / bgflow
  Boltzmann Generators and Normalizing Flows in PyTorch
  ☆187Updated 2 years ago
• cagrell / gp_constr
  Python model for constrained GP
  ☆26Updated 4 years ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆698Updated last week
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,552Updated last year
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆128Updated last year
• e3nn / e3nn-jax
  jax library for E3 Equivariant Neural Networks
  ☆223Updated 5 months ago
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆284Updated last month
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆431Updated 8 months ago