A JAX implementation of the continuous time formulation of Consistency Models
MIT License
Karras et al. (2022) diffusion models for PyTorch
minimal library for image super-resolution implemented in jax
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Multiple dispatch over abstract array types in JAX.
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
A GPT, made only of MLPs, in Jax
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
Gradient-based constrained optimization for JAX
JAX port of Persistent Independent Particles
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs....
Turn SymPy expressions into trainable JAX expressions.
The 2D discrete wavelet transform for JAX
v objective diffusion inference code for JAX.
Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.sit...