DSL-Lab / GRBMLinks
Gaussian-Bernoulli Restricted Boltzmann Machines
☆104Updated 2 years ago
Alternatives and similar repositories for GRBM
Users that are interested in GRBM are comparing it to the libraries listed below
Sorting:
- Transformers with doubly stochastic attention☆46Updated 2 years ago
- ☆180Updated last year
- Easy Hypernetworks in Pytorch and Jax☆103Updated 2 years ago
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆123Updated 2 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Updated 3 years ago
- Sequence Modeling with Structured State Spaces☆65Updated 3 years ago
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆197Updated last year
- A minimalist implementation of score-based diffusion model☆128Updated 3 years ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆125Updated last year
- ☆163Updated 2 years ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆147Updated 3 years ago
- Convex potential flows☆83Updated 3 years ago
- ☆321Updated 2 years ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆180Updated last week
- ☆192Updated last month
- Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"☆195Updated 2 years ago
- Regularized Neural ODEs (RNODE)☆84Updated 4 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆72Updated 2 years ago
- Package for working with hypernetworks in PyTorch.☆128Updated last year
- ☆68Updated 2 years ago
- Code for the paper: Complex-Valued Autoencoders for Object Discovery☆55Updated 2 years ago
- ☆54Updated last year
- Stochastic Automatic Differentiation library for PyTorch.☆205Updated 11 months ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"☆73Updated 5 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆135Updated last month
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- Hierarchical Associative Memory User Experience☆102Updated 3 weeks ago