Alternatives and similar repositories for PyTorch-Pruning-Example:

Users that are interested in PyTorch-Pruning-Example are comparing it to the libraries listed below

• leimao / PyTorch-Static-Quantization
  PyTorch Static Quantization Example
  ☆38Updated 3 years ago
• leimao / PyTorch-Quantization-Aware-Training
  PyTorch Quantization Aware Training Example
  ☆135Updated 11 months ago
• yaozhewei / HAP
  ☆43Updated last year
• marcoancona / TorchPruner
  On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…
  ☆164Updated 4 years ago
• juliagusak / model-compression-and-acceleration-progress
  Repository to track the progress in model compression and acceleration
  ☆105Updated 3 years ago
• IntelLabs / Model-Compression-Research-Package
  A library for researching neural networks compression and acceleration methods.
  ☆139Updated 7 months ago
• Jangho-Kim / PSG-pytorch
  Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)
  ☆26Updated 4 years ago
• DeadAt0m / LSQFakeQuantize-PyTorch
  FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
  ☆33Updated 3 years ago
• Jzz24 / pytorch_quantization
  A pytorch implementation of dorefa quantization
  ☆113Updated 5 years ago
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆277Updated last year
• NVIDIA / sampleQAT
  Inference of quantization aware trained networks using TensorRT
  ☆80Updated 2 years ago
• RAIVNLab / STR
  Soft Threshold Weight Reparameterization for Learnable Sparsity
  ☆89Updated 2 years ago
• gmalivenko / onnx-opcounter
  Count number of parameters / MACs / FLOPS for ONNX models.
  ☆91Updated 5 months ago
• uber-research / permute-quantize-finetune
  Using ideas from product quantization for state-of-the-art neural network compression.
  ☆146Updated 3 years ago
• lehduong / kesi
  Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)
  ☆25Updated 4 years ago
• friendshipkim / neuron-merging
  Neuron Merging: Compensating for Pruned Neurons (NeurIPS 2020)
  ☆42Updated 4 years ago
• selkerdawy / filter-vs-layer-pruning
  ☆10Updated 4 years ago
• VITA-Group / Random_Pruning
  [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…
  ☆73Updated 2 years ago
• 1adrianb / binary-networks-pytorch
  Binarize convolutional neural networks using pytorch
  ☆143Updated 2 years ago
• lucaslie / torchprune
  A research library for pytorch-based neural network pruning, compression, and more.
  ☆160Updated 2 years ago
• VITA-Group / Structure-LTH
  [ICML 2022] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wa…
  ☆32Updated 2 years ago
• microsoft / only_train_once
  OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
  ☆37Updated 6 months ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆94Updated 2 years ago
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆262Updated last year
• synxlin / nn-compression
  A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)
  ☆154Updated 9 months ago
• facebookresearch / AlphaNet
  AlphaNet Improved Training of Supernet with Alpha-Divergence
  ☆98Updated 3 years ago
• Qualcomm-AI-research / transformer-quantization
  ☆203Updated 3 years ago
• Sanjana7395 / static_quantization
  Post-training static quantization using ResNet18 architecture
  ☆37Updated 4 years ago
• Ironteen / Batch-Normalization-fusion
  Batch Normalization Auto-fusion for PyTorch
  ☆32Updated 5 years ago
• lmbxmu / CLR-RNF
  Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
  ☆12Updated 3 years ago