Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"
Repositories
lucidrains repositories
Unofficial implementation of Hippoformer, Integrating Hippocampus-inspired Spatial Memory with Transformers
The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch
Implementation of a holodeck, written in Pytorch
Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI
Fork of HyenaDNA, a long-range genomic foundation model built with Hyena
Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public
Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Implementation of the new SOTA for model based RL, from the paper "Improving Transformer World Models for Data-Efficient RL", in Pytorch
Implementation of Infini-Transformer in Pytorch
Implementation of Insertion-deletion Denoising Diffusion Probabilistic Models
Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module
An implementation of (Induced) Set Attention Block, from the Set Transformers paper
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Use Jax functions in Pytorch
Flash Attention Triton kernel with support for second-order derivatives
Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"
Implementation of Kalmanformer, modeling the Kalman gain with a transformer
KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows