Alternatives and similar repositories for mla-experiments

Users that are interested in mla-experiments are comparing it to the libraries listed below

• nil0x9 / flash-muon
  Flash-Muon: An Efficient Implementation of Muon Optimizer
  ☆121Updated last week
• lucidrains / PEER-pytorch
  Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind
  ☆126Updated 9 months ago
• xiayuqing0622 / flex_head_fa
  Fast and memory-efficient exact attention
  ☆68Updated 3 months ago
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆62Updated 4 months ago
• fla-org / flame
  🔥 A minimal training framework for scaling FLA models
  ☆146Updated 3 weeks ago
• Dao-AILab / grouped-latent-attention
  ☆93Updated last week
• kyegomez / Mixture-of-Depths
  Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆94Updated this week
• dame-cell / Triformer
  Transformers components but in Triton
  ☆33Updated 3 weeks ago
• thu-ml / low-bit-optimizers
  Low-bit optimizers for PyTorch
  ☆128Updated last year
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆104Updated 6 months ago
• NX-AI / mlstm_kernels
  Tiled Flash Linear Attention library for fast and efficient mLSTM Kernels.
  ☆56Updated 2 weeks ago
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆161Updated 11 months ago
• PiotrNawrot / sparse-frontier
  Official implementation of "The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs"
  ☆32Updated last month
• lucidrains / infini-transformer-pytorch
  Implementation of Infini-Transformer in Pytorch
  ☆111Updated 5 months ago
• sustcsonglin / linear-attention-and-beyond-slides
  ☆74Updated 3 months ago
• sramshetty / mixture-of-depths
  An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆35Updated 11 months ago
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆147Updated 2 months ago
• OpenSparseLLMs / Linear-MoE
  ☆93Updated 2 weeks ago
• OpenNLPLab / LASP
  Linear Attention Sequence Parallelism (LASP)
  ☆83Updated last year
• insuhan / hyper-attn
  ☆81Updated last year
• VITA-Group / WeLore
  From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients. Ajay Jaiswal, Lu Yin, Zhenyu Zhang, Shiwei Liu,…
  ☆47Updated last month
• XunhaoLai / native-sparse-attention-triton
  Efficient triton implementation of Native Sparse Attention.
  ☆155Updated last week
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆75Updated last year
• RobertCsordas / moeut
  ☆79Updated 9 months ago
• AnswerDotAI / cold-compress
  Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…
  ☆134Updated 9 months ago
• TsinghuaC3I / Fourier-Position-Embedding
  [ICML 2025] Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization
  ☆70Updated this week
• RobertCsordas / moe_attention
  Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"
  ☆97Updated 8 months ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆234Updated 3 months ago
• zhixuan-lin / forgetting-transformer
  [ICLR 2025] Official PyTorch implementation of "Forgetting Transformer: Softmax Attention with a Forget Gate"
  ☆104Updated 3 weeks ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆217Updated 6 months ago