shreyansh26 / ML-Optimizers-JAX
Toy implementations of some popular ML optimizers using Python/JAX
β44Updated 3 years ago
Alternatives and similar repositories for ML-Optimizers-JAX:
Users that are interested in ML-Optimizers-JAX are comparing it to the libraries listed below
- a lightweight transformer library for PyTorchβ71Updated 3 years ago
- Yet Another Neural Network Library π€β25Updated last month
- π© Pytorch and Jax code for the Madam optimiser.β51Updated 4 years ago
- An implementation of Transformer with Expire-Span, a circuit for learning which memories to retainβ33Updated 4 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).β108Updated 2 years ago
- A differentiation API for PyTorchβ30Updated 4 years ago
- Framework-agnostic library for checking array/tensor shapes at runtime.β47Updated 3 years ago
- A lightweight library for tensorflow 2.0β66Updated 5 years ago
- Deep Probabilistic Programming Course @ DIKUβ57Updated 4 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)β24Updated 4 years ago
- A GPT, made only of MLPs, in Jaxβ57Updated 3 years ago
- Very deep VAEs in JAX/Flaxβ46Updated 3 years ago
- A simple Transformer where the softmax has been replaced with normalizationβ19Updated 4 years ago
- β42Updated 4 years ago
- A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transforβ¦β47Updated last year
- notebooks of cool EBM visualizationsβ15Updated 4 years ago
- A selection of neural network models ported from torchvision for JAX & Flax.β44Updated 4 years ago
- A collection of optimizers, some arcane others well known, for Flax.β29Updated 3 years ago
- β85Updated 4 years ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.β49Updated 3 years ago
- A simple implementation of a deep linear Pytorch moduleβ19Updated 4 years ago
- Yet another mini autodiff system for educational purposesβ29Updated 4 months ago
- π Pytorch code for the Nero optimiser.β20Updated 2 years ago
- β24Updated 10 months ago
- JAX implementation of Learning to learn by gradient descent by gradient descentβ27Updated 4 months ago
- AdaCatβ49Updated 2 years ago
- PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"β36Updated 3 years ago
- Collection of snippets for PyTorch usersβ25Updated 2 years ago
- Flax (JAX) implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variationβ12Updated 3 years ago
- Some small scale experiments for my blog posts πβ79Updated 2 years ago