fkodom / soft-mixture-of-expertsLinks
PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)
☆81Updated 2 years ago
Alternatives and similar repositories for soft-mixture-of-experts
Users that are interested in soft-mixture-of-experts are comparing it to the libraries listed below
Sorting:
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆91Updated 2 years ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆121Updated last year
- Implementation of Infini-Transformer in Pytorch☆112Updated last year
- Implementation of Zorro, Masked Multimodal Transformer, in Pytorch☆98Updated 2 years ago
- Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch☆342Updated 9 months ago
- PyTorch implementation of "From Sparse to Soft Mixtures of Experts"☆67Updated 2 years ago
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆53Updated 2 years ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated 2 years ago
- ☆191Updated last year
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆125Updated 5 years ago
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆102Updated last year
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆56Updated 2 years ago
- Implementation of the general framework for AMIE, from the paper "Towards Conversational Diagnostic AI", out of Google Deepmind☆72Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated last year
- Latest Weight Averaging (NeurIPS HITY 2022)☆32Updated 2 years ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆132Updated 2 months ago
- Implementation of Agent Attention in Pytorch☆93Updated last year
- A repository for DenseSSMs☆88Updated last year
- Language Quantized AutoEncoders☆111Updated 2 years ago
- Implementation of MaMMUT, a simple vision-encoder text-decoder architecture for multimodal tasks from Google, in Pytorch☆103Updated 2 years ago
- MambaFormer in-context learning experiments and implementation for https://arxiv.org/abs/2402.04248☆58Updated last year
- Implementation of GateLoop Transformer in Pytorch and Jax☆91Updated last year
- HGRN2: Gated Linear RNNs with State Expansion☆56Updated last year
- Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"☆57Updated last year
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆39Updated 3 years ago
- Pytorch Implementation of the paper: "Learning to (Learn at Test Time): RNNs with Expressive Hidden States"☆25Updated 3 weeks ago
- Official code for "TOAST: Transfer Learning via Attention Steering"☆188Updated 2 years ago
- ☆106Updated last year
- 32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.☆49Updated 2 years ago
- Model Stock: All we need is just a few fine-tuned models☆128Updated 5 months ago