Alternatives and similar repositories for reproducible-research-project-template:

Users that are interested in reproducible-research-project-template are comparing it to the libraries listed below

• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆349Updated last week
• probml / dynamax
  State Space Models library in JAX
  ☆748Updated this week
• jaxleyverse / jaxley
  Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
  ☆85Updated this week
• rain-neuromorphics / energy-based-learning
  Code to simulate energy-based neuromorphic platforms and learning algorithms for such platforms
  ☆24Updated 4 months ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆198Updated last year
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆437Updated 7 months ago
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆62Updated last month
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆89Updated last year
• probabilisticai / nordic-probai-2024
  Materials of the Nordic Probabilistic AI School 2024.
  ☆61Updated 8 months ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆62Updated 2 months ago
• TyXe-BDL / TyXe
  ☆150Updated 2 years ago
• PGM-Lab / 2023-ProbAI
  Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
  ☆17Updated last year
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆34Updated 3 weeks ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆498Updated last month
• danielward27 / flowjax
  ☆152Updated 3 weeks ago
• cambridge-mlg / mphil-intro-module
  Jupyter notebooks on inference, regression and classification for MPhil students
  ☆47Updated 5 months ago
• scikit-adaptation / skada
  Domain adaptation toolbox compatible with scikit-learn and pytorch
  ☆111Updated last month
• wilson-labs / cola
  Compositional Linear Algebra
  ☆466Updated this week
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆175Updated 2 years ago
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX.
  ☆487Updated this week
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆232Updated last year
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆59Updated 8 months ago
• bayesflow-org / bayesflow
  A Python library for amortized Bayesian workflows using generative neural networks.
  ☆446Updated this week
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆117Updated last month
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆134Updated 8 months ago
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆60Updated 4 months ago
• lindermanlab / ssm
  Bayesian learning and inference for state space models
  ☆601Updated 7 months ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆574Updated 3 months ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆204Updated 3 months ago
• bb515 / diffusionjax
  diffusionjax is a simple and accessible diffusion models package in JAX
  ☆41Updated 2 months ago