Badr-MOUFAD / mgdmLinks
Code for MGDM algorithm (https://arxiv.org/abs/2502.03332)
☆13Updated 2 months ago
Alternatives and similar repositories for mgdm
Users that are interested in mgdm are comparing it to the libraries listed below
Sorting:
- IVON optimizer for neural networks based on variational learning.☆70Updated 9 months ago
- ☆167Updated last year
- Collecting research materials on neural samplers with diffusion/flow models☆58Updated last month
- Code repository for Particle Denoising Diffusion Sampler☆14Updated last year
- Normalizing flows in PyTorch☆401Updated 2 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆107Updated last year
- ☆298Updated 7 months ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆36Updated 8 months ago
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆179Updated 3 years ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆148Updated 3 years ago
- [ICML2022] Variational Wasserstein gradient flow☆23Updated 2 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆136Updated 2 months ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆65Updated 5 months ago
- ☆321Updated 2 years ago
- Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)☆34Updated last year
- Code for our paper: Online Variational Filtering and Parameter Learning☆18Updated 3 years ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- Pytorch-like dataloaders for JAX.☆94Updated 2 months ago
- Research Project Template Repository☆33Updated 3 weeks ago
- A minimalist implementation of score-based diffusion model☆129Updated 3 years ago
- Lightning-like training API for JAX with Flax☆42Updated 8 months ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 5 years ago
- Comparison between GFlowNets & Maximum Entropy RL☆19Updated last year
- A minimal PyTorch implementation of the VQ-VAE model described in "Neural Discrete Representation Learning".☆75Updated 3 years ago
- Code for the paper https://arxiv.org/abs/2205.14987v2☆53Updated last year
- A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!☆83Updated last week
- Maximal Update Parametrization (μP) with Flax & Optax.☆16Updated last year
- MoMo: Momentum Models for Adaptive Learning Rates☆19Updated last year
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Easy Hypernetworks in Pytorch and Jax☆103Updated 2 years ago