lucidrains / deep-cross-attention
Implementation of the proposed DeepCrossAttention by Heddes et al at Google research, in Pytorch
☆83Updated 2 months ago
Alternatives and similar repositories for deep-cross-attention:
Users that are interested in deep-cross-attention are comparing it to the libraries listed below
- Implementation of the proposed MaskBit from Bytedance AI☆76Updated 5 months ago
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆82Updated 2 months ago
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆58Updated last week
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆103Updated 5 months ago
- Explorations into improving ViTArc with Slot Attention☆40Updated 6 months ago
- Explorations into adversarial losses on top of autoregressive loss for language modeling☆35Updated 2 months ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆118Updated 6 months ago
- an implementation of FAdam (Fisher Adam) in PyTorch☆43Updated 11 months ago
- Implementation of Agent Attention in Pytorch☆89Updated 9 months ago
- Implementation of the proposed LVMAE, from the paper, Extending Video Masked Autoencoders to 128 frames, in Pytorch☆49Updated 5 months ago
- Minimal Implementation of Visual Autoregressive Modelling (VAR)☆33Updated last month
- [ICLR 2025] Official PyTorch implementation of "Forgetting Transformer: Softmax Attention with a Forget Gate"☆97Updated last month
- Implementation of a multimodal diffusion transformer in Pytorch☆101Updated 10 months ago
- imagetokenizer is a python package, helps you encoder visuals and generate visuals token ids from codebook, supports both image and video…☆33Updated 10 months ago
- Implementation of a Light Recurrent Unit in Pytorch☆46Updated 7 months ago
- A big_vision inspired repo that implements a generic Auto-Encoder class capable in representation learning and generative modeling.☆35Updated 10 months ago
- [ICLR 2025] Official PyTorch Implementation of Gated Delta Networks: Improving Mamba2 with Delta Rule☆160Updated last month
- Triton implement of bi-directional (non-causal) linear attention☆46Updated 3 months ago
- Experimental playground for benchmarking language model (LM) architectures, layers, and tricks on smaller datasets. Designed for flexible…☆25Updated this week
- [ICLR 2025 Spotlight] Official Implementation for ToST (Token Statistics Transformer)☆82Updated 2 months ago
- Explorations into the recently proposed Taylor Series Linear Attention☆99Updated 8 months ago
- Implementation of a modular, high-performance, and simplistic mamba for high-speed applications☆34Updated 5 months ago
- Implementation of Infini-Transformer in Pytorch☆110Updated 4 months ago
- RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best…☆44Updated last month
- Implementation of Mind Evolution, Evolving Deeper LLM Thinking, from Deepmind☆49Updated 3 months ago
- Awesome list of papers that extend Mamba to various applications.☆132Updated last month
- Code for the paper "Vamba: Understanding Hour-Long Videos with Hybrid Mamba-Transformers"☆64Updated last month
- ☆122Updated 10 months ago
- The official implementation of OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows☆58Updated last month
- Implementation of the proposed Spline-Based Transformer from Disney Research☆88Updated 6 months ago