sparsity
Here are 122 public repositories matching this topic...
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
-
Updated
Jun 28, 2024 - Python
Neural Network Compression Framework for enhanced OpenVINO™ inference
-
Updated
Jun 29, 2024 - Python
SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
-
Updated
Jun 28, 2024 - Python
Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"
-
Updated
Jun 26, 2024 - Python
PaddleSlim is an open-source library for deep model compression and architecture search.
-
Updated
Jun 25, 2024 - Python
Model Compression/Inference Made Easy
-
Updated
Jun 24, 2024 - Jupyter Notebook
Code for the paper "FOCIL: Finetune-and-Freeze for Online Class-Incremental Learning by Training Randomly Pruned Sparse Experts"
-
Updated
Jun 20, 2024 - Python
[NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.
-
Updated
Jun 18, 2024 - Python
Code for CPAL-2024 paper "Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates"
-
Updated
May 23, 2024 - 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
-
Updated
May 8, 2024 - Python
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
-
Updated
May 2, 2024 - Python
Sparse Optimisation Research Code
-
Updated
Apr 29, 2024 - Python
Official implementation of the paper "HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization"
-
Updated
Apr 9, 2024 - Python
Code to reproduce the experiments of the ICLR24-paper: "Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging"
-
Updated
Mar 23, 2024 - Python
[ICCV2023 Official PyTorch code] for Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
-
Updated
Mar 10, 2024 - Python
Project examing sparse deep learning architectures for ligand classification.
-
Updated
Feb 29, 2024 - Jupyter Notebook
[AAMAS 2023] Code for the paper "Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning"
-
Updated
Feb 22, 2024 - Python
Improve this page
Add a description, image, and links to the sparsity topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the sparsity topic, visit your repo's landing page and select "manage topics."