Alternatives and similar repositories for nn_pruning

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

• lucidrains / triton-transformer
  Implementation of a Transformer, but completely in Triton
  ☆277Updated 3 years ago
• tunib-ai / parallelformers
  Parallelformers: An Efficient Model Parallelization Toolkit for Deployment
  ☆791Updated 2 years ago
• facebookresearch / bitsandbytes
  Library for 8-bit optimizers and quantization routines.
  ☆779Updated 3 years ago
• microsoft / fastformers
  FastFormers - highly efficient transformer models for NLU
  ☆708Updated 8 months ago
• IntelLabs / academic-budget-bert
  Repository containing code for "How to Train BERT with an Academic Budget" paper
  ☆316Updated 2 years ago
• bzhangGo / rmsnorm
  Root Mean Square Layer Normalization
  ☆258Updated 2 years ago
• IntelLabs / Model-Compression-Research-Package
  A library for researching neural networks compression and acceleration methods.
  ☆139Updated 3 months ago
• princeton-nlp / CoFiPruning
  [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
  ☆198Updated 2 years ago
• mit-han-lab / hardware-aware-transformers
  [ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
  ☆336Updated last year
• huggingface / pytorch_block_sparse
  Fast Block Sparse Matrices for Pytorch
  ☆550Updated 4 years ago
• microsoft / infinibatch
  Efficient, check-pointed data loading for deep learning with massive data sets.
  ☆210Updated 2 years ago
• pytorch / ort
  Accelerate PyTorch models with ONNX Runtime
  ☆368Updated 9 months ago
• luyug / GradCache
  Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint
  ☆420Updated last year
• WoosukKwon / retraining-free-pruning
  [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
  ☆192Updated 2 years ago
• microsoft / fastseq
  An efficient implementation of the popular sequence models for text generation, summarization, and translation tasks. https://arxiv.org/p…
  ☆433Updated 3 years ago
• Ki6an / fastT5
  ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
  ☆590Updated 2 years ago
• facebookresearch / mega
  Sequence modeling with Mega.
  ☆302Updated 2 years ago
• bytedance / effective_transformer
  Running BERT without Padding
  ☆476Updated 3 years ago
• ofirpress / attention_with_linear_biases
  Code for the ALiBi method for transformer language models (ICLR 2022)
  ☆546Updated 2 years ago
• Lightning-Universe / lightning-transformers
  Flexible components pairing 🤗 Transformers with Pytorch Lightning
  ☆613Updated 3 years ago
• microsoft / xtreme-distil-transformers
  XtremeDistil framework for distilling/compressing massive multilingual neural network models to tiny and efficient models for AI at scale
  ☆157Updated last year
• microsoft / varuna
  ☆252Updated last year
• huggingface / block_movement_pruning
  Block Sparse movement pruning
  ☆81Updated 5 years ago
• NVIDIA / transformer-ls
  Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).
  ☆228Updated 3 years ago
• LiyuanLucasLiu / Transformer-Clinic
  Understanding the Difficulty of Training Transformers
  ☆332Updated 3 years ago
• cybertronai / pytorch-lamb
  Implementation of https://arxiv.org/abs/1904.00962
  ☆377Updated 5 years ago
• kssteven418 / I-BERT
  [ICML'21 Oral] I-BERT: Integer-only BERT Quantization
  ☆263Updated 2 years ago
• Qualcomm-AI-research / transformer-quantization
  ☆207Updated 4 years ago
• kaiyuyue / torchshard
  Slicing a PyTorch Tensor Into Parallel Shards
  ☆300Updated 6 months ago
• lucidrains / electra-pytorch
  A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch
  ☆235Updated 2 years ago