Alternatives and similar repositories for fly

Users that are interested in fly are comparing it to the libraries listed below

• IST-DASLab / OBC
  Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
  ☆122Updated last year
• haochengxi / Train_Transformers_with_INT4
  ☆151Updated 2 years ago
• epfml / dynamic-sparse-flash-attention
  ☆147Updated 2 years ago
• lucaslie / torchprune
  A research library for pytorch-based neural network pruning, compression, and more.
  ☆162Updated 2 years ago
• huggingface / block_movement_pruning
  Block Sparse movement pruning
  ☆80Updated 4 years ago
• Qualcomm-AI-research / outlier-free-transformers
  ☆42Updated last year
• WoosukKwon / retraining-free-pruning
  [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
  ☆190Updated 2 years ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆205Updated last year
• htqin / BiBERT
  This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.
  ☆88Updated 2 years ago
• mccrearyd / rigl-torch
  Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.
  ☆57Updated 3 years ago
• luuyin / OWL
  Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"
  ☆69Updated 11 months ago
• ptillet / torch-blocksparse
  Block-sparse primitives for PyTorch
  ☆156Updated 4 years ago
• RAIVNLab / STR
  Soft Threshold Weight Reparameterization for Learnable Sparsity
  ☆91Updated 2 years ago
• kssteven418 / SqueezeLLM-gradients
  ☆20Updated last year
• yxli2123 / LoSparse
  ☆57Updated last year
• kssteven418 / BigLittleDecoder
  [NeurIPS'23] Speculative Decoding with Big Little Decoder
  ☆92Updated last year
• kssteven418 / LTP
  [KDD'22] Learned Token Pruning for Transformers
  ☆98Updated 2 years ago
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆157Updated last year
• LiuXiaoxuanPKU / GACT-ICML
  ☆42Updated 2 years ago
• Qualcomm-AI-research / transformer-quantization
  ☆204Updated 3 years ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated last year
• hmarkc / parallel-prompt-decoding
  Efficient LLM Inference Acceleration using Prompting
  ☆48Updated 8 months ago
• facebookresearch / bit
  Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer
  ☆108Updated last year
• MingSun-Tse / Awesome-Pruning-at-Initialization
  [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.
  ☆59Updated last year
• aojunzz / NM-sparsity
  ☆236Updated 2 years ago
• VITA-Group / SMC-Bench
  [ICLR 2023] "Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!" Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen…
  ☆28Updated last year
• BradMcDanel / sdgp
  ☆10Updated 3 years ago
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆224Updated 10 months ago
• stanford-futuredata / stk
  ☆105Updated 10 months ago
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆47Updated 2 years ago