gugarosa / learnergy

Related projects ⓘ

Alternatives and complementary repositories for learnergy

• pronobis / libspn-keras
  Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
  ☆47Updated 3 years ago
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆48Updated 3 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆76Updated 8 months ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆115Updated last year
• gebob19 / introduction_to_normalizing_flows
  Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'
  ☆25Updated 3 years ago
• sphinxteam / tramp
  Tree Approximate Message Passing
  ☆29Updated 6 months ago
• QUVA-Lab / COMBO
  ☆47Updated 3 months ago
• henripal / sgld
  ☆59Updated 5 years ago
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆51Updated 3 years ago
• ymalitsky / adaptive_GD
  Adaptive gradient descent without descent
  ☆44Updated 3 years ago
• aleatory-science / deep-probprog-course
  Deep Probabilistic Programming Course @ DIKU
  ☆56Updated 4 years ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 3 months ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆21Updated 4 years ago
• crowsonkb / mdmm
  The Modified Differential Multiplier Method (MDMM) for PyTorch
  ☆51Updated 3 years ago
• juntang-zhuang / TorchDiffEqPack
  ☆45Updated last year
• ying531 / MCMC-SymReg
  Symbolic Regression using MCMC sampling
  ☆25Updated 2 years ago
• probml / JSL
  Jax SSM Library
  ☆49Updated last year
• wjmaddox / drbayes
  Code Repo for "Subspace Inference for Bayesian Deep Learning"
  ☆81Updated 5 months ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆45Updated last year
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• SymJAX / SymJAX
  Documentation:
  ☆120Updated last year
• hyeon95y / SparseLinear
  A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently
  ☆48Updated 11 months ago
• cunningham-lab / cb_and_cc
  ☆36Updated last year
• james-simon / eigenlearning
  codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"
  ☆49Updated last year
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆82Updated 11 months ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆107Updated this week
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆119Updated 2 years ago
• ganguli-lab / degrees-of-freedom
  ☆36Updated 2 years ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆95Updated last year