Alternatives and similar repositories for model-compression-optimization

Users that are interested in model-compression-optimization are comparing it to the libraries listed below

• xuke225 / EQ-Net
  EQ-Net [ICCV 2023]
  ☆30Updated 2 years ago
• Cydia2018 / YOLOv5-Light
  provide some new architecture, channel pruning and quantization methods for yolov5
  ☆30Updated 3 months ago
• xu-peng-tao / SSD-Pruning-and-quantization
  Pruning and quantization for SSD. Model compression.
  ☆30Updated 4 years ago
• liangyn22 / MCUFormer
  [NeurIPS 2023] MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory
  ☆76Updated 2 years ago
• tinyvision / PreNAS
  The official implementation of paper PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search
  ☆31Updated 2 years ago
• lliai / EMQ-series
  [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
  ☆28Updated 2 years ago
• ismail31416 / LumiNet
  The official (TMLR) implementation of LumiNet: Perception-Driven Knowledge Distillation via Statistical Logit Calibration
  ☆17Updated 5 months ago
• UoS-EEC / DynamicOFA
  [CVPRW 2021] Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms
  ☆30Updated 3 years ago
• yl-jiang / YOLOSeries
  YOLO Series
  ☆14Updated 2 years ago
• diaoenmao / Pruning-Deep-Neural-Networks-from-a-Sparsity-Perspective
  [ICLR 2023] Pruning Deep Neural Networks from a Sparsity Perspective
  ☆25Updated 2 years ago
• SteveTsui / Q-DETR
  ☆35Updated 2 years ago
• bytedance / MRECG
  ☆36Updated 2 years ago
• ososos888 / prune-then-distill
  ☆49Updated 3 years ago
• BastianChen / Model-Compression-Demo
  模型压缩demo（剪枝、量化、知识蒸馏）
  ☆78Updated 5 years ago
• wxy1234567 / Resnet50-pruning
  ☆15Updated 5 years ago
• Yanqi-Chen / LATS
  To appear in the 11th International Conference on Learning Representations (ICLR 2023).
  ☆18Updated 2 years ago
• tangchen2 / Model-Compression
  Model Compression 1. Pruning(BN Pruning) 2. Knowledge Distillation (Hinton) 3. Quantization (MNN) 4. Deployment (MNN)
  ☆80Updated 5 years ago
• chenlamei / MobileVit_TensorRT
  TensorRT 2022 亚军方案，tensorrt加速mobilevit模型
  ☆68Updated 3 years ago
• cshbli / yolov5_qat
  YOLOv5 Quantization Aware Training (QAT, qat_torch branch) and Post Training Quantization with ONNX (ptq_onnx branch ptq_onnx.ipynb)
  ☆15Updated 2 years ago
• htqin / BiBench
  [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…
  ☆56Updated last year
• chumingqian / Model_Compression_For_YOLOV3-V4
  In this repository using the sparse training, group channel pruning and knowledge distilling for YOLOV4,
  ☆31Updated 2 years ago
• cqu20160901 / DETR_onnx_tensorRT_V2
  DETR tensor去除推理过程无用辅助头+fp16部署再次加速+解决转tensorrt 输出全为0问题的新方法。
  ☆12Updated 2 years ago
• zejiangh / Filter-GaP
  The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://ope…
  ☆38Updated 3 years ago
• sesmfs / onnx_quant_tool
  An onnx-based quantitation tool.
  ☆71Updated 2 years ago
• pprp / PyTorch-CIFAR-Model-Hub
  Implementation of Conv-based and Vit-based networks designed for CIFAR.
  ☆70Updated 3 years ago
• Phoenix8215 / learn-TensorRT-from-scratch
  learn TensorRT from scratch🥰
  ☆18Updated last year
• Beryex / RLPruner-CNN
  RL-Pruner: Structured Pruning Using Reinforcement Learning for CNN Compression and Acceleration
  ☆26Updated 7 months ago
• Roxbili / TorchQuanter
  Quantize pytorch model, support post-training quantization and quantization aware training methods
  ☆14Updated 2 years ago
• GATECH-EIC / DepthShrinker
  [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …
  ☆35Updated 3 years ago
• lippman1125 / channel_pruning_lasso
  channel pruning for accelerating very deep neural networks
  ☆13Updated 4 years ago