Alternatives and similar repositories for sdgp

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

• yaozhewei / HAP
  ☆43Updated last year
• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆34Updated 4 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• jmluu / Awesome-Efficient-Training
  A collection of research papers on efficient training of DNNs
  ☆69Updated 3 years ago
• cjf00000 / StatQuant
  code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"
  ☆29Updated 4 years ago
• topal-team / rockmate
  ☆36Updated 10 months ago
• Qualcomm-AI-research / oscillations-qat
  ☆76Updated 3 years ago
• HazyResearch / fly
  ☆217Updated 2 years ago
• GATECH-EIC / CPT
  [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…
  ☆32Updated last year
• lightmatter-ai / INT-FP-QSim
  Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.
  ☆51Updated 2 years ago
• jianweif / OptimalGradCheckpointing
  ☆41Updated 4 years ago
• plumerai / rethinking-bnn-optimization
  Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
  ☆74Updated 5 years ago
• IST-DASLab / spdy
  Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"
  ☆20Updated 2 years ago
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆158Updated 2 years ago
• aojunzz / NM-sparsity
  ☆241Updated 2 years ago
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆48Updated 3 years ago
• AamirRaihan / SWAT
  Official implementation of Neurips 2020 "Sparse Weight Activation Training" paper.
  ☆28Updated 4 years ago
• GATECH-EIC / SuperTickets
  [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
  ☆20Updated 3 years ago
• zyxxmu / LBC
  Pytorch implementation of our paper accepted by NeurIPS 2022 -- Learning Best Combination for Efficient N:M Sparsity
  ☆17Updated 2 years ago
• facebookresearch / bit
  Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer
  ☆111Updated 2 years ago
• jakc4103 / scale-adjusted-training
  PyTorch implementation of Towards Efficient Training for Neural Network Quantization
  ☆15Updated 5 years ago
• lucaslie / torchprune
  A research library for pytorch-based neural network pruning, compression, and more.
  ☆163Updated 2 years ago
• Qualcomm-AI-research / FP8-quantization
  ☆161Updated 2 years ago
• allenbai01 / ProxQuant
  ProxQuant: Quantized Neural Networks via Proximal Operators
  ☆30Updated 6 years ago
• SHI-Labs / Any-Precision-DNNs
  Any-Precision Deep Neural Networks (AAAI 2021)
  ☆61Updated 5 years ago
• mlzxy / qsparse
  Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules
  ☆43Updated 3 years ago
• ModelTC / Outlier_Suppression_Plus
  Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…
  ☆47Updated last year
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆95Updated 3 years ago
• RAIVNLab / STR
  Soft Threshold Weight Reparameterization for Learnable Sparsity
  ☆90Updated 2 years ago
• IST-DASLab / WoodFisher
  Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)
  ☆53Updated 4 years ago