4rtemi5 / imax
Image augmentation library for Jax
☆39Updated last year
Alternatives and similar repositories for imax:
Users that are interested in imax are comparing it to the libraries listed below
- A small library for creating and manipulating custom JAX Pytree classes☆56Updated 2 years ago
- A Python package of computer vision models for the Equinox ecosystem.☆103Updated 8 months ago
- A selection of neural network models ported from torchvision for JAX & Flax.☆44Updated 4 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆108Updated 2 years ago
- A metrics library for the JAX ecosystem☆40Updated 2 years ago
- A functional training loops library for JAX☆86Updated last year
- Neural Networks for JAX☆84Updated 6 months ago
- ☆154Updated last year
- ☆114Updated this week
- ☆101Updated 9 months ago
- Tools for JAX☆45Updated last week
- Efficiently Composable Data Augmentation on the GPU with Jax☆33Updated 8 months ago
- JAX Arrays for human consumption☆92Updated last year
- ☆60Updated 3 years ago
- Documentation:☆119Updated last year
- A Pytree Module system for Deep Learning in JAX☆214Updated 2 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 3 months ago
- JMP is a Mixed Precision library for JAX.☆194Updated 2 months ago
- Running Jax in PyTorch Lightning☆94Updated 3 months ago
- Composable kernels for scikit-learn implemented in JAX.☆43Updated 4 years ago
- A collection of optimizers, some arcane others well known, for Flax.☆29Updated 3 years ago
- Serialize JAX, Flax, Haiku, or Objax model params with 🤗`safetensors`☆44Updated 10 months ago
- A port of muP to JAX/Haiku☆25Updated 2 years ago
- Lightweight ML Experiment Logging 📖☆80Updated 7 months ago
- A stateful pytree library for training neural networks.☆22Updated 2 years ago
- Re-implementation of 'Grokking: Generalization beyond overfitting on small algorithmic datasets'☆38Updated 3 years ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆171Updated last week
- ☆152Updated this week
- If it quacks like a tensor...☆58Updated 5 months ago