google / init2winitLinks
☆77Updated this week
Alternatives and similar repositories for init2winit
Users that are interested in init2winit are comparing it to the libraries listed below
Sorting:
- ☆115Updated last week
- ☆158Updated last year
- A small library for creating and manipulating custom JAX Pytree classes☆56Updated 2 years ago
- A functional training loops library for JAX☆88Updated last year
- JMP is a Mixed Precision library for JAX.☆207Updated 6 months ago
- A Python package of computer vision models for the Equinox ecosystem.☆107Updated last year
- A Python library for defining structured command-line flags.☆31Updated last month
- A JAX implementation of stochastic addition.☆14Updated 2 years ago
- ☆60Updated 3 years ago
- Tools for JAX☆49Updated last week
- Neural Networks for JAX☆84Updated 10 months ago
- ☆80Updated 3 years ago
- ☆192Updated last month
- ☆105Updated last year
- Mathematical operations for JAX pytrees☆199Updated 8 months ago
- Named Tensors for Legible Deep Learning in JAX☆197Updated last week
- Neural network verification in JAX☆145Updated last year
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆112Updated 3 years ago
- Image augmentation library for Jax☆39Updated last year
- ☆30Updated 10 months ago
- A metrics library for the JAX ecosystem☆40Updated 2 years ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Documentation:☆121Updated 2 years ago
- A Pytree Module system for Deep Learning in JAX☆214Updated 2 years ago
- ☆232Updated 5 months ago
- Composable kernels for scikit-learn implemented in JAX.☆44Updated 4 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years ago
- Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…☆71Updated last month
- LoRA for arbitrary JAX models and functions☆140Updated last year
- ☆203Updated this week