francois-rozet / papers-101Links
Implementation of papers in 101 lines of code.
☆18Updated last year
Alternatives and similar repositories for papers-101
Users that are interested in papers-101 are comparing it to the libraries listed below
Sorting:
- Implementation of Action Matching for the Schrödinger equation☆24Updated 2 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆62Updated 4 months ago
- Code for "Journey to the BAOAB-limit: finding effective MCMC samplers for score-based models". See more at https://ajayj.com/journey.☆12Updated 2 years ago
- Diffusion models in PyTorch☆106Updated 3 weeks ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆11Updated last year
- ☆23Updated 7 months ago
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆28Updated 4 months ago
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆80Updated 3 weeks ago
- The Superposition of Diffusion Models Using the Itô Density Estimator☆45Updated 3 months ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆45Updated 2 weeks ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆58Updated last year
- Collecting research materials on neural samplers with diffusion/flow models☆54Updated last week
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Flow-matching algorithms in JAX☆97Updated 11 months ago
- Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”☆76Updated 2 years ago
- Official Repository for "Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation" [ICLR 2024]☆15Updated last year
- ☆35Updated 3 months ago
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆38Updated last month
- Clifford-Steerable Convolutional Neural Networks [ICML'24]☆47Updated 2 months ago
- Implementation of Action Matching☆44Updated 2 years ago
- ☆20Updated 2 years ago
- JAX exponential map normalising flows on sphere☆17Updated 4 years ago
- Neural Diffusion Processes☆81Updated 11 months ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆131Updated last year
- ☆32Updated last year
- Stochastic Normalizing Flows☆78Updated 3 years ago
- ☆44Updated last year
- Perceiver (transformer variant) implemented in JAX and Flax☆12Updated 4 years ago
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆55Updated 4 months ago