Alternatives and similar repositories for nn_pruning

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

• facebookresearch / bitsandbytes
  Library for 8-bit optimizers and quantization routines.
  ☆780Updated 3 years ago
• tunib-ai / parallelformers
  Parallelformers: An Efficient Model Parallelization Toolkit for Deployment
  ☆791Updated 2 years ago
• lucidrains / triton-transformer
  Implementation of a Transformer, but completely in Triton
  ☆278Updated 3 years ago
• mit-han-lab / hardware-aware-transformers
  [ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
  ☆337Updated last year
• princeton-nlp / CoFiPruning
  [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
  ☆198Updated 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
• huggingface / pytorch_block_sparse
  Fast Block Sparse Matrices for Pytorch
  ☆550Updated 5 years ago
• bzhangGo / rmsnorm
  Root Mean Square Layer Normalization
  ☆261Updated 2 years ago
• microsoft / fastformers
  FastFormers - highly efficient transformer models for NLU
  ☆709Updated 10 months ago
• pytorch / ort
  Accelerate PyTorch models with ONNX Runtime
  ☆368Updated last month
• LiyuanLucasLiu / Transformer-Clinic
  Understanding the Difficulty of Training Transformers
  ☆332Updated 3 years ago
• ofirpress / attention_with_linear_biases
  Code for the ALiBi method for transformer language models (ICLR 2022)
  ☆547Updated 2 years ago
• WoosukKwon / retraining-free-pruning
  [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
  ☆192Updated 2 years ago
• microsoft / varuna
  ☆252Updated last year
• Lightning-Universe / lightning-transformers
  Flexible components pairing 🤗 Transformers with Pytorch Lightning
  ☆612Updated 3 years ago
• facebookresearch / mega
  Sequence modeling with Mega.
  ☆302Updated 2 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 2 years ago
• SeanNaren / minGPT
  A minimal PyTorch Lightning OpenAI GPT w DeepSpeed Training!
  ☆112Updated 2 years ago
• bytedance / effective_transformer
  Running BERT without Padding
  ☆476Updated 3 years ago
• castorini / DeeBERT
  DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
  ☆161Updated 3 years ago
• microsoft / infinibatch
  Efficient, check-pointed data loading for deep learning with massive data sets.
  ☆211Updated 2 years ago
• lena-voita / the-story-of-heads
  This is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, t…
  ☆318Updated 4 years ago
• NVIDIA / transformer-ls
  Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).
  ☆228Updated 3 years ago
• kssteven418 / I-BERT
  [ICML'21 Oral] I-BERT: Integer-only BERT Quantization
  ☆266Updated 2 years ago
• Ki6an / fastT5
  ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
  ☆589Updated 2 years ago
• huggingface / tune
  ☆87Updated 3 years 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
• huggingface / block_movement_pruning
  Block Sparse movement pruning
  ☆83Updated 5 years ago
• luyug / GradCache
  Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint
  ☆424Updated last year
• graphcore / tutorials
  Training material for IPU users: tutorials, feature examples, simple applications
  ☆87Updated 2 years ago