Alternatives and similar repositories for ASD2023:

Users that are interested in ASD2023 are comparing it to the libraries listed below

• vtopt / qnstop
  Quasi-Newton Algorithm for Stochastic Optimization
  ☆10Updated 2 years ago
• f-dangel / einconv
  Convolutions and more as einsum for PyTorch
  ☆15Updated 9 months ago
• carefree0910 / carefree-data
  A data processing module implemented with numpy
  ☆10Updated 2 years ago
• francescocicala / deep-learning-with-pytorch
  Deep learning lectures I am holding for the MSc on Data Science and Scientific Computing
  ☆13Updated 2 years ago
• DSSC-projects / veni
  A simple Python package for deep learning using forward automatic differentiation based on JAX.
  ☆14Updated 2 years ago
• glouppe / flowing-with-jax
  ☆15Updated 4 years ago
• artix41 / ALFI-pytorch
  Code for the paper Recurrent Machines for Likelihood-Free Inference
  ☆16Updated 6 years ago
• emaballarin / ebtorch
  🤓🔥 Collection of PyTorch additions, extensions, utilities, uses and abuses
  ☆9Updated last week
• AlexandraVolokhova / stochasticity_in_neural_ode
  "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper
  ☆13Updated 4 years ago
• pyro-ppl / pyro-api
  Generic API for dispatch to Pyro backends.
  ☆16Updated 3 years ago
• kazukiosawa / ngd_in_wide_nn
  simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…
  ☆14Updated 4 years ago
• robertness / pyro_agents
  Agent models implemented with Pyro
  ☆11Updated last year
• QuantStack / xsci
  Scientific algorithms implemented on top of the x-stack (xtensor, xsimd ...)
  ☆9Updated 5 years ago
• f-dangel / vivit
  [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…
  ☆17Updated last year
• pyro-ppl / pyroed
  Bayesian optimization of discrete sequences
  ☆20Updated 3 years ago
• zalandoresearch / JaxRK
  RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation
  ☆8Updated 3 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆21Updated 5 years ago
• AndPotap / halfpres_gps
  ☆16Updated 2 years ago
• PhilipVinc / Jax.jl
  ☆28Updated 3 years ago
• mattjj / ode-diff-notes
  ☆12Updated 4 years ago
• necludov / oMCMC
  orbital MCMC
  ☆10Updated 3 years ago
• carefree0910 / carefree-toolkit
  Some commonly used functions and modules
  ☆10Updated last year
• dslab-uniud / teaching
  Curated repository for all the teaching materials (courses, seminars, etc.) provided by the lab and its members.
  ☆8Updated 5 months ago
• necludov / iMCMC
  ☆22Updated 4 years ago
• rbondesan / CanonicalFlows
  Canonical normalizing flows
  ☆10Updated 5 years ago
• Roger-luo / PIML
  lecture materials of the ML for Physics course 2021 in Perimeter Institute
  ☆21Updated 4 years ago
• rizalzaf / AdversarialPrediction.jl
  Easily optimize generic performance metrics in differentiable learning.
  ☆18Updated 4 years ago
• mlysy / rodeo-legacy
  Probabilistic Solution of Differential Equations
  ☆13Updated 2 years ago
• FluxML / YaoFlux.jl
  Differentiable programming on quantum circuits with Flux
  ☆19Updated 5 years ago
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆18Updated 3 years ago