Alternatives and similar repositories for NeurIPS-WANT-submission-efficient-parallelization-layouts

Users that are interested in NeurIPS-WANT-submission-efficient-parallelization-layouts are comparing it to the libraries listed below

• feifeibear / Odysseus-Transformer
  Odysseus: Playground of LLM Sequence Parallelism
  ☆70Updated last year
• BBuf / flash-rwkv
  ☆31Updated last year
• dame-cell / Triformer
  Transformers components but in Triton
  ☆34Updated 2 months ago
• Doraemonzzz / Awesome-Triton-Resources
  Awesome Triton Resources
  ☆31Updated 2 months ago
• Raincleared-Song / sparse_gpu_operator
  GPU operators for sparse tensor operations
  ☆33Updated last year
• juvi21 / CoPE-cuda
  Contextual Position Encoding but with some custom CUDA Kernels https://arxiv.org/abs/2405.18719
  ☆22Updated last year
• teelinsan / parallel-decoding
  Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"
  ☆118Updated last year
• jungokasai / T2R
  ☆14Updated 2 years ago
• tanyuqian / redco
  NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
  ☆66Updated 7 months ago
• VITA-Group / Data-Efficient-Scaling
  [ICML 2023] "Data Efficient Neural Scaling Law via Model Reusing" by Peihao Wang, Rameswar Panda, Zhangyang Wang
  ☆14Updated last year
• sustcsonglin / mamba-triton
  ☆48Updated last year
• Dao-AILab / grouped-latent-attention
  ☆116Updated last month
• softmax1 / Flash-Attention-Softmax-N
  CUDA and Triton implementations of Flash Attention with SoftmaxN.
  ☆70Updated last year
• kyegomez / Blockwise-Parallel-Transformer
  32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.
  ☆48Updated 2 years ago
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆80Updated 10 months ago
• OpenNLPLab / LASP
  Linear Attention Sequence Parallelism (LASP)
  ☆85Updated last year
• linxihui / dkernel
  ☆20Updated 2 months ago
• habanero-lab / APPy
  APPy (Annotated Parallelism for Python) enables users to annotate loops and tensor expressions in Python with compiler directives akin to…
  ☆23Updated 3 weeks ago
• qiuzh20 / gated_attention
  The official implementation for Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free
  ☆44Updated 2 months ago
• sail-sg / VocabularyParallelism
  Vocabulary Parallelism
  ☆19Updated 4 months ago
• 00ffcc / chunkRWKV6
  continous batching and parallel acceleration for RWKV6
  ☆24Updated last year
• MayDomine / Burst-Attention
  Distributed IO-aware Attention algorithm
  ☆20Updated 10 months ago
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆60Updated last year
• nil0x9 / flash-muon
  Flash-Muon: An Efficient Implementation of Muon Optimizer
  ☆138Updated last month
• li-plus / flash-preference
  Accelerate LLM preference tuning via prefix sharing with a single line of code
  ☆42Updated last week
• MayDomine / Seq1F1B
  Sequence-level 1F1B schedule for LLMs.
  ☆17Updated last year
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆77Updated last year
• thunlp / Ouroboros
  Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)
  ☆107Updated 3 months ago
• stanford-futuredata / stk
  ☆106Updated 10 months ago
• tile-ai / TileOPs
  ☆42Updated last week