lucidrains / axial-positional-embeddingLinks
Axial Positional Embedding for Pytorch
☆81Updated 3 months ago
Alternatives and similar repositories for axial-positional-embedding
Users that are interested in axial-positional-embedding are comparing it to the libraries listed below
Sorting:
- Implementation of Fast Transformer in Pytorch☆174Updated 3 years ago
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆135Updated 2 months ago
- Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI☆90Updated 3 years ago
- Another attempt at a long-context / efficient transformer by me☆38Updated 3 years ago
- Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch☆119Updated 3 years ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆100Updated 2 years ago
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆53Updated 2 years ago
- Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"☆70Updated 2 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- Standalone Product Key Memory module in Pytorch - for augmenting Transformer models☆78Updated 10 months ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆50Updated 3 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆105Updated 3 years ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆61Updated 3 years ago
- PyTorch implementation of FNet: Mixing Tokens with Fourier transforms☆27Updated 4 years ago
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆51Updated 3 years ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 3 years ago
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆117Updated 4 years ago
- Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper☆81Updated 3 years ago
- Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning☆160Updated last year
- A convolution-free, transformer-only version of the CycleGAN framework☆33Updated 3 years ago
- GPT, but made only out of MLPs☆89Updated 4 years ago
- Code for the paper PermuteFormer☆42Updated 3 years ago
- Implementation of fused cosine similarity attention in the same style as Flash Attention☆214Updated 2 years ago
- Implementation of Feedback Transformer in Pytorch☆107Updated 4 years ago
- [NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".☆50Updated last year
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆139Updated 4 years ago
- ResiDual: Transformer with Dual Residual Connections, https://arxiv.org/abs/2304.14802☆93Updated last year
- A GPT, made only of MLPs, in Jax☆58Updated 3 years ago
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆39Updated 3 years ago
- A pytorch realization of adafactor (https://arxiv.org/pdf/1804.04235.pdf )☆24Updated 5 years ago