Alternatives and similar repositories for neural-boltzmann-machines:

Users that are interested in neural-boltzmann-machines are comparing it to the libraries listed below

• lzzcd001 / ade-code
  Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)
  ☆13Updated 5 years ago
• gcucurull / jax-gcn
  Graph Convolutional Networks in JAX
  ☆31Updated 4 years ago
• geomstats / applications
  Examples of more involved applications using Geomstats
  ☆31Updated 3 years ago
• tychovdo / lila
  Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"
  ☆23Updated 2 years ago
• gauravdhama / eigengame_deepmind
  A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium
  ☆21Updated 3 years ago
• cornellius-gp / linear_operator.old
  A LinearOperator implementation for PyTorch
  ☆18Updated 4 years ago
• leonard-gleyzer / connex
  Fine-grained, dynamic control of neural network topology in JAX.
  ☆21Updated last year
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated 7 months ago
• juliagusak / neural-ode-metasolver
  Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
  ☆24Updated 3 years ago
• xbresson / IPAM_Tutorial_2019
  Notebooks for IPAM Tutorial, March 15 2019
  ☆24Updated 5 years ago
• ximenafernandez / intrinsicPH
  This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'
  ☆10Updated last year
• toshas / torch-householder
  Efficient Householder Transformation in PyTorch
  ☆63Updated 3 years ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated 2 years ago
• mfinzi / residual-pathway-priors
  ☆17Updated 3 years ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆42Updated last year
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆21Updated 4 years ago
• random-matrix-learning / random-matrix-learning.github.io
  Website for the ICML 2021 tutorial on Random Matrix Theory and Machine Learning
  ☆15Updated 3 years ago
• MarcTLaw / UltrahyperbolicRepresentation
  Ultrahyperbolic Representation Learning
  ☆12Updated 4 years ago
• haguettaz / ChebLieNet
  ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.
  ☆16Updated 4 months ago
• gcucurull / jax-gat
  JAX implementation of Graph Attention Networks
  ☆13Updated 2 years ago
• sophiaas / spectral-universality
  Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"
  ☆32Updated 11 months ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆47Updated last year
• ngruver / lie-deriv
  ☆36Updated 2 years ago
• IDSIA / neuraldiffeq-fwp
  Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…
  ☆18Updated 2 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆35Updated 4 years ago
• danieljtait / jax_xla_adventures
  Dive into Jax, Flax, XLA and C++
  ☆31Updated 4 years ago
• vikashg / Geometry-Reading-list
  A curated list of reading material and lecture notes for all things geometry. Mostly focussed on differential and Riemannian geometry wit…
  ☆18Updated 6 years ago
• KordingLab / hilbert-constrained-gradient-descent
  Pytorch optimizers implementing Hilbert Constrained Gradient Descent
  ☆19Updated 5 years ago
• vdeborto / lab-session-generative-modeling
  Lab session of the course generative modeling
  ☆13Updated last year
• samihaija / tf-fsvd
  Functional TensorFlow Implementation of Singular Value Decomposition for paper Fast Graph Learning
  ☆13Updated 3 years ago