bobby-he / simplified_transformersLinks
☆293Updated 9 months ago
Alternatives and similar repositories for simplified_transformers
Users that are interested in simplified_transformers are comparing it to the libraries listed below
Sorting:
- Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch☆320Updated 5 months ago
- Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch☆360Updated last year
- Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"☆380Updated 2 years ago
- Implementation of Block Recurrent Transformer - Pytorch☆220Updated last year
- A simple but robust PyTorch implementation of RetNet from "Retentive Network: A Successor to Transformer for Large Language Models" (http…☆105Updated last year
- Annotated version of the Mamba paper☆489Updated last year
- Official PyTorch Implementation of "The Hidden Attention of Mamba Models"☆226Updated last year
- ☆301Updated 4 months ago
- Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"☆56Updated last week
- PyTorch Implementation of Jamba: "Jamba: A Hybrid Transformer-Mamba Language Model"☆187Updated last week
- Huggingface compatible implementation of RetNet (Retentive Networks, https://arxiv.org/pdf/2307.08621.pdf) including parallel, recurrent,…☆226Updated last year
- ☆196Updated 2 weeks ago
- ☆183Updated 11 months ago
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆241Updated 3 months ago
- Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch☆414Updated 8 months ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆128Updated last year
- Implementation of fused cosine similarity attention in the same style as Flash Attention☆214Updated 2 years 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
- Repo for "Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture"☆559Updated 8 months ago
- Quick implementation of nGPT, learning entirely on the hypersphere, from NvidiaAI☆290Updated 3 months ago
- Reading list for research topics in state-space models☆322Updated 3 months ago
- Implementation of Infini-Transformer in Pytorch☆111Updated 8 months ago
- (Unofficial) PyTorch implementation of grouped-query attention (GQA) from "GQA: Training Generalized Multi-Query Transformer Models from …☆178Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated last year
- Some preliminary explorations of Mamba's context scaling.☆217Updated last year
- Implementation of Linformer for Pytorch☆298Updated last year
- The official implementation of TPA: Tensor ProducT ATTenTion Transformer (T6) (https://arxiv.org/abs/2501.06425)☆385Updated 3 weeks ago
- Code for Adam-mini: Use Fewer Learning Rates To Gain More https://arxiv.org/abs/2406.16793☆436Updated 4 months ago
- When it comes to optimizers, it's always better to be safe than sorry☆367Updated 3 weeks ago
- [ICLR2025 Spotlight🔥] Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters☆570Updated 7 months ago