lucidrains / zorro-pytorchLinks
Implementation of Zorro, Masked Multimodal Transformer, in Pytorch
☆98Updated last year
Alternatives and similar repositories for zorro-pytorch
Users that are interested in zorro-pytorch are comparing it to the libraries listed below
Sorting:
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆89Updated last year
- Implementation of MaMMUT, a simple vision-encoder text-decoder architecture for multimodal tasks from Google, in Pytorch☆103Updated last year
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆120Updated 10 months ago
- PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)☆78Updated last year
- Implementation of Infini-Transformer in Pytorch☆111Updated 8 months ago
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆88Updated 2 years ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆56Updated last year
- 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 practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆106Updated 2 weeks ago
- Implementation of Agent Attention in Pytorch☆91Updated last year
- [TMLR 2022] High-Modality Multimodal Transformer☆117Updated 10 months ago
- Implementation of the general framework for AMIE, from the paper "Towards Conversational Diagnostic AI", out of Google Deepmind☆67Updated 11 months ago
- Language Quantized AutoEncoders☆109Updated 2 years ago
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆58Updated last year
- ResiDual: Transformer with Dual Residual Connections, https://arxiv.org/abs/2304.14802☆95Updated 2 years ago
- Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena☆205Updated 2 years ago
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆123Updated 9 months ago
- A simple cross attention that updates both the source and target in one step☆179Updated last month
- [NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy☆70Updated last year
- Implementation of a multimodal diffusion transformer in Pytorch☆103Updated last year
- ☆52Updated last year
- Implementation of GateLoop Transformer in Pytorch and Jax☆90Updated last year
- Implementation of a modular, high-performance, and simplistic mamba for high-speed applications☆36Updated 10 months ago
- [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)☆33Updated 2 years ago
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆123Updated 4 years ago
- Standalone Product Key Memory module in Pytorch - for augmenting Transformer models☆82Updated last year
- Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch☆319Updated 5 months ago
- A repository to house some personal attempts to beat some state-of-the-art for medical datasets☆99Updated last year
- ☆75Updated 2 years ago