clementpoiret / EquimoLinks
Implementation of Computer Vision Models in JAX (equinox)
☆14Updated last week
Alternatives and similar repositories for Equimo
Users that are interested in Equimo are comparing it to the libraries listed below
Sorting:
- Distrax, but in equinox. Lightweight JAX library of probability distributions and bijectors.☆38Updated last month
- JAX Arrays for human consumption☆110Updated 3 weeks ago
- Minimal, lightweight JAX implementations of popular models.☆148Updated this week
- Add a tqdm progress bar to your JAX scans and loops.☆118Updated 6 months ago
- Parallel hyperparameter tuning with JAX☆36Updated 4 months ago
- Multiple dispatch over abstract array types in JAX.☆136Updated last week
- Minimal JAX implementation of k-nearest neighbors using a k-d tree.☆50Updated 4 months ago
- ☆232Updated last week
- Jaxpr Visualisation Tool☆32Updated 10 months ago
- Score-based Diffusion models in JAX.☆15Updated last week
- diffusionjax is a simple and accessible diffusion models package in JAX☆47Updated 10 months ago
- Differentiable Principal Component Analysis (PCA) implementation in JAX☆30Updated 7 months ago
- Pytorch-like dataloaders for JAX.☆96Updated 5 months ago
- Stainless neural networks in JAX☆34Updated 2 months ago
- Generative models with JAX.☆20Updated 10 months ago
- A functional training loops library for JAX☆88Updated last year
- Flow-matching algorithms in JAX☆107Updated last year
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 10 months ago
- Minimal Implementation of Bayesian Optimization in JAX☆100Updated 6 months ago
- ☆198Updated 3 weeks ago
- Turn jitted jax functions back into python source code☆22Updated 11 months ago
- A dataloader, but for JAX☆20Updated last year
- A Python package of computer vision models for the Equinox ecosystem.☆109Updated last year
- Riemannian Optimization Using JAX☆53Updated 2 years ago
- A Wadler--Lindig pretty printer for Python☆43Updated last month
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆58Updated 3 months ago
- ☆52Updated 2 years ago
- Run PyTorch in JAX. 🤝☆306Updated last month
- Einsum-like high-level array sharding API for JAX☆34Updated last year
- Normalizing Flows using JAX☆85Updated last year