m1balcerak / EnergyMatchingLinks
Official repository for "Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling"
☆64Updated 2 weeks ago
Alternatives and similar repositories for EnergyMatching
Users that are interested in EnergyMatching are comparing it to the libraries listed below
Sorting:
- Code repository for Trajectory Flow Matching☆82Updated 10 months ago
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆43Updated 3 months ago
- ☆29Updated last month
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆79Updated last year
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆66Updated 6 months ago
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆101Updated 2 months ago
- Neural Optimal Transport with Lagrangian Costs☆58Updated 4 months ago
- [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"☆54Updated this week
- NeurIPS23 "Flow Factorized Representation Learning"☆38Updated 10 months ago
- The Superposition of Diffusion Models Using the Itô Density Estimator☆51Updated 6 months ago
- ☆12Updated last year
- Neural Diffusion Processes☆81Updated last year
- Generative Equilibrium Transformer☆23Updated last year
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆50Updated last year
- ☆34Updated 5 months ago
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆60Updated 6 months ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆25Updated last year
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆47Updated 2 months ago
- ☆48Updated last year
- ☆31Updated last year
- Official Jax Implementation of MD4 Masked Diffusion Models☆125Updated 6 months ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆82Updated last year
- NF-Layers for constructing neural functionals.☆88Updated last year
- A Tutorial for Diffusion Models☆58Updated 2 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆89Updated 2 years ago
- ☆13Updated 2 years ago
- Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models☆71Updated last year
- Implementation of Action Matching☆45Updated 2 years ago
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆26Updated last year