probabilists / azulaLinks
Diffusion models in PyTorch
☆120Updated last week
Alternatives and similar repositories for azula
Users that are interested in azula are comparing it to the libraries listed below
Sorting:
- ☆24Updated last year
- Flow-matching algorithms in JAX☆112Updated last year
- Implementation of papers in 101 lines of code.☆18Updated 2 years ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆141Updated 2 years ago
- The 2D discrete wavelet transform for JAX☆44Updated 2 years ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆71Updated 9 months ago
- Run PyTorch in JAX. 🤝☆310Updated 2 months ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆127Updated 2 years ago
- A State-Space Model with Rational Transfer Function Representation.☆83Updated last year
- Maximal Update Parametrization (μP) with Flax & Optax.☆16Updated 2 years ago
- ☆230Updated last year
- Running Jax in PyTorch Lightning☆117Updated last year
- Conditional Flow Matching using JAX☆13Updated 2 years ago
- Graph neural networks in JAX.☆68Updated last year
- Stainless neural networks in JAX☆34Updated 3 weeks ago
- A parallel ODE solver for PyTorch☆273Updated last year
- ☆18Updated 6 months ago
- ☆44Updated 2 months ago
- Pytorch-like dataloaders for JAX.☆97Updated 2 weeks ago
- Lightning-like training API for JAX with Flax☆44Updated last year
- ☆129Updated last year
- This is a port of Mistral-7B model in JAX☆32Updated last year
- ☆212Updated last year
- nanoGPT using Equinox☆14Updated 2 years ago
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆70Updated last month
- Repository for code used in the xVal paper☆146Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 11 months ago
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆77Updated 2 years ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆188Updated last week
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆50Updated 6 months ago