Implementation of ETSformer, state of the art time-series Transformer, in Pytorch
An implementation of masked language modeling for Pytorch, made as concise and simple as possible
Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module
A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms
Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch
Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification
Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch
Implementation of the GBST block from the Charformer paper, in Pytorch
Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch
A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network
Implementation of ProteinBERT in Pytorch
Implementation of Nyström Self-attention, from the paper Nyströmformer
Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"
Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022
A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks
Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch
Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax
Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
GPT, but made only out of MLPs
Implementation of Uformer, Attention-based Unet, in Pytorch
Implementation of NWT, audio-to-video generation, in Pytorch
Implementation of Marge, Pre-training via Paraphrasing, in Pytorch
Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design
Implementation of the video diffusion model and training scheme presented in the paper, Flexible Diffusion Modeling of Long Videos, in Pytorch
Implementation of RQ Transformer, proposed in the paper "Autoregressive Image Generation using Residual Quantization"
Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch
Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper
Implementation of Hierarchical Transformer Memory (HTM) for Pytorch
Implementation of Discrete Key / Value Bottleneck, in Pytorch
Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI