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)
☆75Updated last year
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☆89Updated last year
- Implementation of Infini-Transformer in Pytorch☆110Updated 7 months ago
- Implementation of Zorro, Masked Multimodal Transformer, in Pytorch☆97Updated last year
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆120Updated 9 months 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…☆54Updated last year
- Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch☆309Updated 4 months ago
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆98Updated 10 months ago
- PyTorch implementation of "From Sparse to Soft Mixtures of Experts"☆59Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated 11 months ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆53Updated 2 years ago
- ☆182Updated 10 months ago
- Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind☆177Updated 10 months ago
- Implementation of the general framework for AMIE, from the paper "Towards Conversational Diagnostic AI", out of Google Deepmind☆66Updated 10 months ago
- Recycling diverse models☆45Updated 2 years ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆80Updated last year
- HGRN2: Gated Linear RNNs with State Expansion☆55Updated 11 months ago
- ☆106Updated last year
- Implementation of Agent Attention in Pytorch☆91Updated last year
- One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation☆41Updated 9 months ago
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated last month
- Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"☆55Updated 11 months ago
- AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers☆47Updated 2 years ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆89Updated last year
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆39Updated 3 years ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆56Updated last year
- Language models scale reliably with over-training and on downstream tasks☆97Updated last year
- Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"☆30Updated 9 months ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆31Updated 2 years ago
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆38Updated last month
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆127Updated 11 months ago