DSL-Lab / GRBMLinks
Gaussian-Bernoulli Restricted Boltzmann Machines
☆106Updated 3 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☆50Updated 3 years ago
- Code for the paper: Complex-Valued Autoencoders for Object Discovery☆56Updated 2 years ago
- Sequence Modeling with Structured State Spaces☆66Updated 3 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Updated 4 years ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆188Updated this week
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆124Updated 3 years ago
- ☆190Updated last year
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆146Updated 3 weeks ago
- Regularized Neural ODEs (RNODE)☆83Updated 4 years ago
- A minimalist implementation of score-based diffusion model☆129Updated 4 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆127Updated 2 years ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Convex potential flows☆84Updated 4 years ago
- Easy Hypernetworks in Pytorch and Jax☆106Updated 2 years ago
- Rational Activation Functions - Replacing Padé Activation Units☆102Updated 8 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆249Updated 2 months ago
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆200Updated 2 years ago
- ☆328Updated 3 years ago
- ☆214Updated 3 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆190Updated last year
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆151Updated 4 years ago
- Neural Diffusion Processes☆81Updated last year
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- ☆54Updated last year
- Stochastic Automatic Differentiation library for PyTorch.☆208Updated last year
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆122Updated 2 years ago