Alternatives and similar repositories for flop

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

• huggingface / block_movement_pruning
  Block Sparse movement pruning
  ☆81Updated 4 years ago
• VITA-Group / BERT-Tickets
  [NeurIPS 2020] "The Lottery Ticket Hypothesis for Pre-trained BERT Networks", Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Ya…
  ☆141Updated 3 years ago
• microsoft / Stochastic-Mixture-of-Experts
  This package implements THOR: Transformer with Stochastic Experts.
  ☆65Updated 4 years ago
• dguo98 / DiffPruning
  Parameter Efficient Transfer Learning with Diff Pruning
  ☆74Updated 4 years ago
• varunnair18 / FISH
  Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).
  ☆59Updated 3 years ago
• pkuzengqi / Skyformer
  Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)
  ☆63Updated 3 years ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆78Updated 2 years ago
• rycolab / differentiable-subset-pruning
  ☆16Updated 4 years ago
• HazyResearch / fly
  ☆219Updated 2 years ago
• VITA-Group / EarlyBERT
  [ACL-IJCNLP 2021] "EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets" by Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, …
  ☆18Updated 3 years ago
• zhangjiong724 / spectral-RNN
  STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION
  ☆16Updated 7 years ago
• allenai / staged-training
  Staged Training for Transformer Language Models
  ☆33Updated 3 years ago
• kssteven418 / LTP
  [KDD'22] Learned Token Pruning for Transformers
  ☆100Updated 2 years ago
• JetRunner / PABEE
  Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit".
  ☆66Updated 4 years ago
• RobertCsordas / ndr
  The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
  ☆33Updated 4 months ago
• IBM / PoWER-BERT
  Method to improve inference time for BERT. This is an implementation of the paper titled "PoWER-BERT: Accelerating BERT Inference via Pro…
  ☆62Updated last month
• Shark-NLP / CAB
  ☆31Updated 2 years ago
• mitchellgordon95 / bert-prune
  ☆17Updated 5 years ago
• RobertCsordas / transformer_generalization
  The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…
  ☆67Updated 2 years ago
• kssteven418 / BigLittleDecoder
  [NeurIPS'23] Speculative Decoding with Big Little Decoder
  ☆94Updated last year
• Noahs-ARK / RFA
  ☆33Updated 4 years ago
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆54Updated 4 years ago
• tt-embedding / tt-embeddings
  ☆27Updated 6 years ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated 2 years ago
• layer6ai-labs / T-Fixup
  Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"
  ☆89Updated 4 years ago
• QingruZhang / PLATON
  This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).
  ☆46Updated 3 years ago
• Hunter-DDM / stablemoe
  Code for the ACL-2022 paper "StableMoE: Stable Routing Strategy for Mixture of Experts"
  ☆50Updated 3 years ago
• jxhe / efficient-knnlm
  Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)
  ☆74Updated 3 years ago
• twinkle0331 / Xcompression
  [ICLR 2022] Code for paper "Exploring Extreme Parameter Compression for Pre-trained Language Models"(https://arxiv.org/abs/2205.10036)
  ☆22Updated 2 years ago
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆69Updated last year