myscience / modular-diffusionLinks
Modular PyTorch (Lightning) implementation of Diffusion Probabilistic Models
☆22Updated 2 years ago
Alternatives and similar repositories for modular-diffusion
Users that are interested in modular-diffusion are comparing it to the libraries listed below
Sorting:
- Code and experiments for the NeurIPS 2023 paper Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints☆12Updated last year
- Julia implementation of flash-attention operation for neural networks.☆11Updated 2 years ago
- ☆18Updated 2 years ago
- Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.☆59Updated 2 weeks ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated 2 months ago
- Bayesian inference on spatial and spatiotemporal data, faster than you can say "Cholesky!"☆12Updated last month
- Julia implementation of the Flash Attention algorithm☆19Updated 2 years ago
- ☆30Updated 2 years ago
- Code for paper https://arxiv.org/abs/2306.07961☆53Updated 4 months ago
- AI conference templates in Typst☆25Updated 2 years ago
- Checkpointing for Automatic Differentiation☆60Updated this week
- Physics-Enhanced Regression for Initial Value Problems☆20Updated last year
- A pure Julia implementation of denoising diffusion probabilistic models☆76Updated 2 years ago
- ☆205Updated last year
- ☆26Updated last year
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆59Updated 10 months ago
- A comprehensive collection of 35+ recurrent neural network layers for Flux.jl☆29Updated 3 months ago
- Machine learning from scratch in Julia☆33Updated 11 months ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated last year
- Diffusion models for image generation in Julia☆13Updated 2 years ago
- Julia implementation of the Kolmogorov-Arnold network with custom gradients for fast training.☆83Updated 2 months ago
- Website for the book "The Elements of Differentiable Programming".☆14Updated 7 months ago
- ☆14Updated last year
- Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks☆18Updated 2 years ago
- Conditional Flow Matching using JAX☆13Updated 2 years ago
- Implementation of normalizing flows compatible with Bijectors.jl☆44Updated 2 months ago
- Distributed Data Parallel Training of Deep Neural Networks☆57Updated last year
- Taylor-mode automatic differentiation for higher-order derivatives☆81Updated this week
- Matrix-free linear algebra in JAX.☆159Updated 2 months ago
- A package for multi-dimensional integration using monte carlo methods☆40Updated last year