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".
  ☆109Updated last year
• epfml / dynamic-sparse-flash-attention
  ☆135Updated last year
• facebookresearch / bit
  Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer
  ☆103Updated last year
• WoosukKwon / retraining-free-pruning
  [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
  ☆177Updated last year
• kssteven418 / LTP
  [KDD'22] Learned Token Pruning for Transformers
  ☆96Updated last year
• ptillet / torch-blocksparse
  Block-sparse primitives for PyTorch
  ☆154Updated 3 years ago
• kssteven418 / BigLittleDecoder
  [NeurIPS'23] Speculative Decoding with Big Little Decoder
  ☆88Updated 11 months ago
• Qualcomm-AI-research / transformer-quantization
  ☆197Updated 3 years ago
• dguo98 / DiffPruning
  Parameter Efficient Transfer Learning with Diff Pruning
  ☆73Updated 3 years ago
• htqin / BiBERT
  This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.
  ☆85Updated last year
• lucaslie / torchprune
  A research library for pytorch-based neural network pruning, compression, and more.
  ☆160Updated 2 years ago
• QingruZhang / PLATON
  This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).
  ☆43Updated 2 years ago
• hmarkc / parallel-prompt-decoding
  Efficient LLM Inference Acceleration using Prompting
  ☆45Updated 2 months ago
• google-research / jaxpruner
  ☆215Updated 8 months ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆132Updated 7 months ago
• xijiu9 / Train_Transformers_with_INT4
  ☆139Updated last year
• huggingface / block_movement_pruning
  Block Sparse movement pruning
  ☆78Updated 4 years ago
• verbose-void / rigl-torch
  Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.
  ☆56Updated 3 years ago
• graphcore-research / unit-scaling
  A library for unit scaling in PyTorch
  ☆118Updated last month
• yxli2123 / LoSparse
  ☆49Updated last year
• luuyin / OWL
  Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"
  ☆55Updated 6 months ago
• lolemacs / continuous-sparsification
  Implementation of Continuous Sparsification, a method for pruning and ticket search in deep networks
  ☆32Updated 2 years ago
• varunnair18 / FISH
  Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).
  ☆58Updated 3 years ago
• RAIVNLab / STR
  Soft Threshold Weight Reparameterization for Learnable Sparsity
  ☆88Updated last year
• insuhan / hyper-attn
  ☆74Updated last year
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆192Updated last month
• Qualcomm-AI-research / outlier-free-transformers
  ☆39Updated last year
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated last year
• jaeho-lee / layer-adaptive-sparsity
  In progress.
  ☆64Updated 9 months ago
• MingSun-Tse / Awesome-Pruning-at-Initialization
  [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.
  ☆57Updated last year