Alternatives and similar repositories for PeerAiD

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

• iamkanghyunchoi / qimera
  Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]
  ☆33Updated 3 years ago
• hongsunjang / pipe-bd
  [DATE 2023] Pipe-BD: Pipelined Parallel Blockwise Distillation
  ☆11Updated 2 years ago
• GATECH-EIC / Double-Win-Quant
  [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…
  ☆15Updated 3 years ago
• elliothe / BFA
  Pytorch implementation of Bit-Flip based adversarial weight Attack (BFA)
  ☆33Updated 4 years ago
• GATECH-EIC / Robust-Scratch-Ticket
  [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yon…
  ☆13Updated 3 years ago
• iamkanghyunchoi / ait
  It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]
  ☆29Updated 3 years ago
• VITA-Group / GraNet
  [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
  ☆31Updated 2 years ago
• kimihe / Octo
  Create tiny ML systems for on-device learning.
  ☆20Updated 4 years ago
• ParCIS / Ok-Topk
  Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…
  ☆27Updated 2 years ago
• hku-systems / naspipe
  ☆14Updated 3 years ago
• snu-comparch / Tender
  Tender: Accelerating Large Language Models via Tensor Decompostion and Runtime Requantization (ISCA'24)
  ☆20Updated last year
• BoyuanFeng / APNN-TC
  ☆19Updated 4 years ago
• kazukiosawa / pipe-fisher
  ☆10Updated 2 years ago
• VITA-Group / Q-Hitter
  ☆15Updated last year
• cornell-zhang / llm-datatypes
  Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
  ☆27Updated last year
• AIS-SNU / Smart-Infinity
  [HPCA'24] Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System
  ☆49Updated 2 months ago
• AIS-SNU / PID-Comm
  ☆27Updated 10 months ago
• Qualcomm-AI-research / outlier-free-transformers
  ☆45Updated last year
• xshaun / sc22-ae
  ☆14Updated last week
• PKUZHOU / PetS-ATC-2022
  ☆10Updated 2 years ago
• yonsei-hpcp / pid-join
  ☆11Updated 5 months ago
• haizhongzheng / LTE
  ☆11Updated last week
• Soroosh129 / NeuOS
  Source code for the paper: "A Latency-Predictable Multi-Dimensional Optimization Framework forDNN-driven Autonomous Systems"
  ☆22Updated 4 years ago
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆41Updated 4 years ago
• xvyaward / owq
  Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…
  ☆66Updated last year
• jmluu / Awesome-Efficient-Training
  A collection of research papers on efficient training of DNNs
  ☆69Updated 3 years ago
• SNU-ARC / any-precision-llm
  [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
  ☆116Updated 3 months ago
• ranggihwang / Pregated_MoE
  ☆55Updated last year
• Shiweiliuiiiiiii / In-Time-Over-Parameterization
  [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…
  ☆45Updated last year
• sjtu-epcc / DVABatch
  ☆21Updated 3 years ago