jaewonalive / PeerAiD

Related projects: ⓘ

• hongsunjang / pipe-bd
  [DATE 2023] Pipe-BD: Pipelined Parallel Blockwise Distillation
  ☆11Updated last year
• AIS-SNU / PID-Comm
  ☆16Updated 3 months ago
• iamkanghyunchoi / qimera
  Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]
  ☆30Updated 2 years ago
• SamsungLabs / Genie
  Official Implementation of "Genie: Show Me the Data for Quantization" (CVPR 2023)
  ☆17Updated last year
• AIS-SNU / Smart-Infinity
  [HPCA'24] Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System
  ☆33Updated 6 months 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…
  ☆50Updated 6 months ago
• cornell-zhang / llm-datatypes
  Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
  ☆21Updated 2 months ago
• iamkanghyunchoi / ait
  It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]
  ☆30Updated 2 years ago
• ranggihwang / Pregated_MoE
  ☆27Updated 4 months ago
• yonsei-hpcp / pid-join
  ☆10Updated 8 months ago
• clevercool / ANT-Quantization
  ☆75Updated 10 months ago
• thu-ml / Jetfire-INT8Training
  ☆14Updated 2 months ago
• jeffreyyu0602 / quantized-training
  ☆15Updated this week
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆36Updated 3 years ago
• naver-aics / lut-gemm
  ☆33Updated 5 months ago
• casys-kaist / NeuPIMs
  NeuPIMs Simulator
  ☆43Updated 3 months ago
• YukeWang96 / TC-GNN_ATC23
  Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.
  ☆44Updated 11 months ago
• aojunzz / DominoSearch
  ☆18Updated 2 years ago
• SNU-ARC / any-precision-llm
  [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
  ☆72Updated last month
• hgyhungry / ShflBW_Sparse_NN
  ☆15Updated last year
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆46Updated last year
• MXHX7199 / ICCV_2021_AFP
  AFP is a hardware-friendly quantization framework for DNNs, which is contributed by Fangxin Liu and Wenbo Zhao.
  ☆10Updated 2 years ago
• Qualcomm-AI-research / outlier-free-transformers
  ☆30Updated 9 months ago
• Shigangli / 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…
  ☆23Updated last year
• scale-snu / attacc_simulator
  ☆32Updated 2 months ago
• dgSPARSE / dgNN
  [Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective
  ☆17Updated last year
• yaozhewei / HAP
  ☆42Updated 7 months ago
• ModelTC / Outlier_Suppression_Plus
  Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…
  ☆38Updated 10 months ago
• 1hunters / LIMPQ
  Official implementation for paper LIMPQ, "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance", ECCV 2022
  ☆44Updated last year
• msr-fiddle / piper
  ☆8Updated 2 years ago