matthias-wright / jax-fidLinks
FID computation in Jax/Flax.
☆29Updated last year
Alternatives and similar repositories for jax-fid
Users that are interested in jax-fid are comparing it to the libraries listed below
Sorting:
- JAX implementation ViT-VQGAN☆82Updated 3 years ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 10 months ago
- ☆40Updated last year
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆68Updated 2 weeks ago
- Train vision models using JAX and 🤗 transformers☆100Updated last month
- ☆34Updated last year
- ☆33Updated 2 years ago
- ☆91Updated 3 years ago
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated last year
- Deep Networks Grok All the Time and Here is Why☆38Updated last year
- Implementation of LogAvgExp for Pytorch☆37Updated 7 months ago
- Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI☆97Updated 3 years ago
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆56Updated 2 years ago
- Automatically take good care of your preemptible TPUs☆37Updated 2 years ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆46Updated 2 years ago
- Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.☆22Updated 2 years ago
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆88Updated 2 years ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆57Updated last year
- PyTorch interface for TrueGrad Optimizers☆43Updated 2 years ago
- ☆53Updated last year
- Implementation of numerous Vision Transformers in Google's JAX and Flax.☆22Updated 3 years ago
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆51Updated 3 years ago
- ☆23Updated last year
- Focused on fast experimentation and simplicity☆75Updated 11 months ago
- Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam☆85Updated last year
- ☆52Updated last year
- The 2D discrete wavelet transform for JAX☆44Updated 2 years ago
- A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.☆18Updated last year
- A JAX implementation of the continuous time formulation of Consistency Models☆85Updated 2 years ago
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆125Updated last year