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#

sparsity

Here are 137 public repositories matching this topic...

SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

  • UpdatedApr 25, 2025
  • Python
sparseml

PyTorch native quantization and sparsity for training and inference

  • UpdatedApr 26, 2025
  • Python

PaddleSlim is an open-source library for deep model compression and architecture search.

  • UpdatedDec 4, 2024
  • Python

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

  • UpdatedFeb 10, 2025
  • Python

Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM

  • UpdatedApr 25, 2025
  • Python

Network Slimming (Pytorch) (ICCV 2017)

  • UpdatedNov 6, 2020
  • Python

More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam,dcn and so on), and tensorrt

  • UpdatedAug 19, 2024
  • Python

[NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

  • UpdatedAug 1, 2024
  • Python

Caffe for Sparse and Low-rank Deep Neural Networks

  • UpdatedMar 8, 2020
  • C++

An innovative library for efficient LLM inference via low-bit quantization

  • UpdatedAug 30, 2024
  • C++

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On i…

  • UpdatedJul 23, 2020
  • Python

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

  • UpdatedJul 21, 2021
  • Python

[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference

  • UpdatedOct 18, 2021
  • Python

Caffe for Sparse Convolutional Neural Network

  • UpdatedDec 16, 2022
  • C++

Learning both Weights and Connections for Efficient Neural Networkshttps://arxiv.org/abs/1506.02626

  • UpdatedNov 10, 2022
  • Jupyter Notebook

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