Alternatives and similar repositories for algebranets

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

• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 8 years ago
• franrruiz / uivi
  Code for Unbiased Implicit Variational Inference (UIVI)
  ☆14Updated 6 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆47Updated 6 years ago
• toshas / torch-householder
  Efficient Householder Transformation in PyTorch
  ☆66Updated 4 years ago
• srush / learns-dex
  ☆33Updated 4 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆22Updated 5 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• srush / jax-lda
  ☆30Updated 3 years ago
• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆42Updated 5 years ago
• mblondel / projection-losses
  Python implementation of projection losses.
  ☆27Updated 5 years ago
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆53Updated 4 years ago
• IraKorshunova / bruno
  a deep recurrent model for exchangeable data
  ☆34Updated 5 years ago
• harvardnlp / strux
  ☆18Updated 3 years ago
• pronobis / libspn-keras
  Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
  ☆48Updated last month
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 5 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆69Updated 11 years ago
• ermongroup / BiasAndGeneralization
  ☆27Updated 6 years ago
• facebookresearch / semi-discrete-flow
  code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"
  ☆27Updated 2 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆45Updated 5 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆67Updated 6 years ago
• wittawatj / kernel-mod
  NeurIPS 2018. Linear-time model comparison tests.
  ☆18Updated 5 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆78Updated 2 years ago
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆40Updated last year
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 years ago
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆25Updated 4 years ago
• RuiShu / tensorsketch
  A lightweight library for tensorflow 2.0
  ☆66Updated 5 years ago
• brain-research / conv-sv
  The Singular Values of Convolutional Layers
  ☆71Updated 7 years ago
• ispamm / kernel-activation-functions
  Several implementations of the kernel-based activation functions
  ☆63Updated 6 years ago
• ermongroup / higher_order_invariance
  Code for "Accelerating Natural Gradient with Higher-Order Invariance"
  ☆30Updated 6 years ago
• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆14Updated 5 years ago