dtunai / xLSTM-JaxLinks
Jax implementation of x-LSTM: Extended Long Short-Term Memory by Beck et al. (2024)
☆17Updated 10 months ago
Alternatives and similar repositories for xLSTM-Jax
Users that are interested in xLSTM-Jax are comparing it to the libraries listed below
Sorting:
- Exploration into the Firefly algorithm in Pytorch☆40Updated 4 months ago
- Lightning-like training API for JAX with Flax☆41Updated 6 months ago
- This is a port of Mistral-7B model in JAX☆32Updated 11 months ago
- JAX implementation of the Mistral 7b v0.2 model☆35Updated 11 months ago
- Implementation of Denoising Diffusion Probabilistic Models (DDPM) in JAX and Flax.☆20Updated last year
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆24Updated 8 months ago
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆83Updated last year
- ☆31Updated 7 months ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆50Updated 11 months ago
- The 2D discrete wavelet transform for JAX☆43Updated 2 years ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆54Updated last month
- Pytorch-like dataloaders for JAX.☆87Updated last month
- Implementation and explorations into Blackbox Gradient Sensing (BGS), an evolutionary strategies approach proposed in a Google Deepmind p…☆16Updated 3 weeks ago
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆99Updated last month
- A simple hypernetwork implementation in jax using haiku.☆23Updated 2 years ago
- TorchFSM: Fourier Spectral Method with PyTorch☆44Updated 2 weeks ago
- Turn jitted jax functions back into python source code☆22Updated 6 months ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 5 months ago
- Neural Networks for JAX☆84Updated 9 months ago
- A simple, easy-to-understand library for diffusion models using Flax and Jax. Includes detailed notebooks on DDPM, DDIM, and EDM with sim…☆29Updated last month
- Code for the book "The Elements of Differentiable Programming".☆88Updated last week
- Code repo for ICLR 24 BlogPost titled "Building Diffusion Model's theory from ground up"☆20Updated last year
- ☆11Updated 2 years ago
- Diffusion models in PyTorch☆104Updated last week
- ☆43Updated 3 weeks ago
- A Python package of computer vision models for the Equinox ecosystem.☆107Updated 11 months ago
- Implementation of a holodeck, written in Pytorch☆18Updated last year
- ☆32Updated last year
- Jax like function transformation engine but micro, microjax☆32Updated 8 months ago
- Graph neural networks in JAX.☆67Updated last year