Alternatives and similar repositories for DyNAS-T:

Users that are interested in DyNAS-T are comparing it to the libraries listed below

• GATECH-EIC / SuperTickets
  [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
  ☆19Updated 2 years ago
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆62Updated 11 months ago
• NVlabs / SMCP
  ☆20Updated 2 years ago
• lightmatter-ai / INT-FP-QSim
  Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.
  ☆47Updated last year
• apple / learning-compressible-subspaces
  ☆19Updated 3 years ago
• facebookresearch / Ternary_Binary_Transformer
  ACL 2023
  ☆38Updated last year
• fmfi-compbio / admm-pruning
  ☆22Updated 6 months ago
• pytorch-labs / superblock
  A block oriented training approach for inference time optimization.
  ☆32Updated 6 months ago
• ziplab / EcoFormer
  [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"
  ☆70Updated 2 years ago
• facebookexperimental / protoquant
  Prototype routines for GPU quantization written using PyTorch.
  ☆19Updated last week
• MingSun-Tse / Why-the-State-of-Pruning-so-Confusing
  [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…
  ☆40Updated 2 years ago
• yaozhewei / HAP
  ☆43Updated last year
• VITA-Group / Structure-LTH
  [ICML 2022] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wa…
  ☆32Updated last year
• chenjoya / dropit
  DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training (ICLR 2023)
  ☆30Updated last year
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆30Updated 6 months ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated last year
• ziplab / QLLM
  [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…
  ☆25Updated 11 months ago
• skolai / fewbit
  Compression schema for gradients of activations in backward pass
  ☆44Updated last year
• 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…
  ☆30Updated 11 months ago
• IST-DASLab / spdy
  Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"
  ☆18Updated last year
• facebookresearch / spartan
  Spartan is an algorithm for training sparse neural network models. This repository accompanies the paper "Spartan Differentiable Sparsity…
  ☆24Updated 2 years ago
• NVlabs / EfficientDL
  ☆31Updated 8 months ago
• facebookresearch / bit
  Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer
  ☆103Updated last year
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆28Updated last year
• VITA-Group / SFW-Once-for-All-Pruning
  [ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, T…
  ☆29Updated 3 years ago
• IST-DASLab / SparseFinetuning
  Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry
  ☆40Updated last year
• IntelLabs / Hardware-Aware-Automated-Machine-Learning
  ☆41Updated last week
• MAC-AutoML / OMPQ
  ☆25Updated 3 years ago
• Qualcomm-AI-research / outlier-free-transformers
  ☆39Updated last year
• Qualcomm-AI-research / gptvq
  ☆27Updated 10 months ago