AshishKumar4 / FlaxDiffLinks
A simple, easy-to-understand library for diffusion models using Flax and Jax. Includes detailed notebooks on DDPM, DDIM, and EDM with simplified mathematical explanations. Made as part of my journey for learning and experimenting with generative AI.
☆40Updated 9 months ago
Alternatives and similar repositories for FlaxDiff
Users that are interested in FlaxDiff are comparing it to the libraries listed below
Sorting:
- ☆123Updated 7 months ago
- ☆35Updated last year
- Flow-matching algorithms in JAX☆115Updated last year
- Maximal Update Parametrization (μP) with Flax & Optax.☆16Updated 2 years ago
- A State-Space Model with Rational Transfer Function Representation.☆83Updated last year
- Implementation of Diffusion Transformers and Rectified Flow in Jax☆27Updated last year
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆92Updated 2 years ago
- ☆24Updated last year
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆135Updated 3 months ago
- Code release for "Stochastic Optimal Control Matching"☆39Updated last year
- Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam☆85Updated last year
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆127Updated 2 years ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆71Updated 10 months ago
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated last year
- A simple library for scaling up JAX programs☆145Updated 3 months ago
- ☆246Updated last year
- Lightning-like training API for JAX with Flax☆45Updated last year
- LoRA for arbitrary JAX models and functions☆144Updated last year
- ☆35Updated last year
- Scalable and Stable Parallelization of Nonlinear RNNS☆28Updated 3 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆92Updated last year
- ☆70Updated last year
- Easy Hypernetworks in Pytorch and Jax☆106Updated 3 years ago
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆72Updated 2 months ago
- Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun☆56Updated 10 months ago
- Accelerated First Order Parallel Associative Scan☆196Updated last month
- ☆62Updated last year
- Supporting code for the blog post on modular manifolds.☆115Updated 4 months ago
- Diffusion models in PyTorch☆124Updated last week