matthias-wright / jax-fidLinks
FID computation in Jax/Flax.
☆28Updated 11 months ago
Alternatives and similar repositories for jax-fid
Users that are interested in jax-fid are comparing it to the libraries listed below
Sorting:
- ☆34Updated 10 months ago
- JAX implementation ViT-VQGAN☆83Updated 2 years ago
- Utilities for PyTorch distributed☆24Updated 4 months ago
- ☆33Updated 2 years ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated 2 years ago
- Automatically take good care of your preemptible TPUs☆36Updated 2 years ago
- Train vision models using JAX and 🤗 transformers☆98Updated 3 months ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 5 months ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆56Updated last year
- ☆51Updated last year
- PyTorch interface for TrueGrad Optimizers☆42Updated last year
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆51Updated 3 months ago
- Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.☆22Updated 2 years ago
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆65Updated last month
- The 2D discrete wavelet transform for JAX☆43Updated 2 years ago
- ☆90Updated 2 years ago
- ☆39Updated last year
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆54Updated 2 years ago
- Implementation of LogAvgExp for Pytorch☆36Updated 3 months ago
- ☆23Updated last year
- A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.☆18Updated 8 months ago
- A JAX implementation of the continuous time formulation of Consistency Models☆85Updated 2 years ago
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆88Updated 2 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
- Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"☆29Updated 4 years ago
- DiCE: The Infinitely Differentiable Monte-Carlo Estimator☆31Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆99Updated 10 months ago
- Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam☆82Updated 11 months ago
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated last year
- ☆55Updated 11 months ago