matbun / EBM--Generative-Energy-Based-ModelingLinks
Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and implement EBMs as generative models, comparing the results obtained with Maximum Likelihood estimation and Sliced Score Matching on MNIST and a toy 2D dataset,
☆16Updated 4 years ago
Alternatives and similar repositories for EBM--Generative-Energy-Based-Modeling
Users that are interested in EBM--Generative-Energy-Based-Modeling are comparing it to the libraries listed below
Sorting:
- ☆38Updated 5 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆46Updated 2 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆65Updated 2 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆66Updated 3 years ago
- Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]☆23Updated last year
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated last year
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 8 months ago
- ☆24Updated 4 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆35Updated 3 years ago
- ☆54Updated last year
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- ☆39Updated 3 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated last year
- ☆38Updated last year
- Implementation of Normalizing flows on MNIST https://arxiv.org/abs/1505.05770☆14Updated 6 years ago
- ☆12Updated 6 years ago
- ☆23Updated 4 years ago
- ☆20Updated 5 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 5 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆57Updated 3 years ago
- General Invertible Transformations for Flow-based Generative Models☆18Updated 4 years ago
- Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)☆13Updated 2 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆24Updated 3 years ago