francois-rozet / papers-101Links
Implementation of papers in 101 lines of code.
☆18Updated 2 years ago
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☆25Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆12Updated last year
- Diffusion models in PyTorch☆120Updated last week
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆70Updated 9 months ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Updated 2 years ago
- ☆24Updated last year
- Collecting research materials on neural samplers with diffusion/flow models☆59Updated 5 months ago
- Conditional Flow Matching using JAX☆13Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆66Updated last year
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆140Updated 2 years ago
- ☆30Updated 2 years ago
- Flow-matching algorithms in JAX☆112Updated last year
- Stochastic Normalizing Flows☆78Updated 4 years ago
- Implementation of Action Matching☆49Updated 2 years ago
- ☆21Updated 3 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 4 years ago
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆30Updated 10 months ago
- Stainless neural networks in JAX☆34Updated 2 weeks ago
- ☆14Updated 2 years ago
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆37Updated 2 years ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆41Updated last year
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆14Updated 3 years ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆50Updated 6 months ago
- Code for Gaussian Score Matching Variational Inference☆35Updated 10 months ago
- ☆52Updated 2 years ago
- Implementation of Consistency Models (Song et al 2023) for few-step image generation in Jax.☆19Updated 2 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Perceiver (transformer variant) implemented in JAX and Flax☆13Updated 4 years ago
- Neural Diffusion Processes☆81Updated last year
- ☆198Updated last year