dtunai / xLSTM-Jax
Jax implementation of x-LSTM: Extended Long Short-Term Memory by Beck et al. (2024)
☆16Updated 7 months ago
Alternatives and similar repositories for xLSTM-Jax:
Users that are interested in xLSTM-Jax are comparing it to the libraries listed below
- This is a port of Mistral-7B model in JAX☆32Updated 9 months ago
- Schedule free optimiser implemented in JAX using Optimistix☆14Updated 10 months ago
- Exploration into the Firefly algorithm in Pytorch☆35Updated last month
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆83Updated last year
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆49Updated last month
- ☆18Updated 3 months ago
- Neural Networks for JAX☆83Updated 6 months ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆49Updated 8 months ago
- Jax like function transformation engine but micro, microjax☆30Updated 5 months ago
- Implementation of Denoising Diffusion Probabilistic Models (DDPM) in JAX and Flax.☆20Updated last year
- Turn jitted jax functions back into python source code☆22Updated 3 months ago
- ☆10Updated last year
- Your favourite classical machine learning algos on the GPU/TPU☆20Updated 2 months ago
- JAX Implementation of Black Forest Labs' Flux.1 family of models☆30Updated 5 months ago
- Lightning-like training API for JAX with Flax☆38Updated 3 months ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆23Updated 2 months ago
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆24Updated 5 months ago
- ☆147Updated this week
- Diffusion models in PyTorch☆99Updated last week
- Implementation of PSGD optimizer in JAX☆30Updated 3 months ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆37Updated 2 years ago
- Recursive Leasting Squares (RLS) with Neural Network for fast learning☆53Updated last year
- Multiple dispatch over abstract array types in JAX.☆115Updated this week
- Flow-matching algorithms in JAX☆86Updated 7 months ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆128Updated last year
- The 2D discrete wavelet transform for JAX☆41Updated 2 years ago
- Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"☆28Updated 4 years ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 2 months ago
- Pytorch-like dataloaders for JAX.☆77Updated 5 months ago
- ☆31Updated 11 months ago