Alternatives and similar repositories for GRBM:

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

• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆44Updated 2 years ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆104Updated 3 years ago
• nv-tlabs / CLD-SGM
  Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
  ☆196Updated last year
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆154Updated last month
• shyamsn97 / hyper-nn
  Easy Hypernetworks in Pytorch and Jax
  ☆96Updated 2 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆86Updated 2 years ago
• google-research / vdm
  ☆304Updated 2 years ago
• ag1988 / dss
  Sequence Modeling with Structured State Spaces
  ☆61Updated 2 years ago
• loeweX / ComplexAutoEncoder
  Code for the paper: Complex-Valued Autoencoders for Object Discovery
  ☆48Updated last year
• CW-Huang / CP-Flow
  Convex potential flows
  ☆82Updated 3 years ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆302Updated last month
• akandykeller / SelfNormalizingFlows
  ☆67Updated 2 years ago
• martenlienen / torchode
  A parallel ODE solver for PyTorch
  ☆246Updated 3 months ago
• ml-research / rational_activations
  Rational Activation Functions - Replacing Padé Activation Units
  ☆84Updated last year
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆121Updated last year
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆122Updated 3 years ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆76Updated 7 months ago
• HazyResearch / hippo-code
  ☆172Updated 8 months ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆82Updated last year
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆58Updated 2 months ago
• Rayhane-mamah / Efficient-VDVAE
  Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"
  ☆193Updated 2 years ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆111Updated this week
• gisilvs / AEF
  ☆33Updated last year
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆117Updated last year
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆182Updated last month
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆73Updated 3 years ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆109Updated 9 months ago
• lucidrains / discrete-key-value-bottleneck-pytorch
  Implementation of Discrete Key / Value Bottleneck, in Pytorch
  ☆87Updated last year
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆85Updated last year
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆76Updated 5 months ago