Projects in Awesome Lists tagged with pruning
A curated list of projects in awesome lists tagged with pruning .
https://github.com/datawhalechina/leedl-tutorial
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
bert chatgpt cnn deep-learning diffusion gan leedl-tutorial machine-learning network-compression pruning reinforcement-learning rnn self-attention transfer-learning transformer tutorial
Last synced: 14 May 2025
https://nervanasystems.github.io/distiller/
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
automl-for-compression deep-neural-networks distillation early-exit group-lasso jupyter-notebook network-compression onnx pruning pruning-structures pytorch quantization regularization truncated-svd
Last synced: 09 Jul 2025
https://github.com/intellabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
automl-for-compression deep-neural-networks distillation early-exit group-lasso jupyter-notebook network-compression onnx pruning pruning-structures pytorch quantization regularization truncated-svd
Last synced: 27 Sep 2025
https://intellabs.github.io/distiller/
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
automl-for-compression deep-neural-networks distillation early-exit group-lasso jupyter-notebook network-compression onnx pruning pruning-structures pytorch quantization regularization truncated-svd
Last synced: 03 May 2025
https://github.com/IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
automl-for-compression deep-neural-networks distillation early-exit group-lasso jupyter-notebook network-compression onnx pruning pruning-structures pytorch quantization regularization truncated-svd
Last synced: 20 Mar 2025
https://github.com/neuralmagic/deepsparse
Sparsity-aware deep learning inference runtime for CPUs
computer-vision cpus deepsparse inference llm-inference machinelearning nlp object-detection onnx performance pretrained-models pruning quantization sparsification
Last synced: 14 May 2025
https://github.com/vainf/torch-pruning
[CVPR 2023] DepGraph: Towards Any Structural Pruning
channel-pruning cvpr2023 depgraph efficient-deep-learning model-compression network-pruning pruning structural-pruning structured-pruning
Last synced: 12 May 2025
https://github.com/VainF/Torch-Pruning
[CVPR 2023] DepGraph: Towards Any Structural Pruning
channel-pruning cvpr2023 depgraph efficient-deep-learning model-compression network-pruning pruning structural-pruning structured-pruning
Last synced: 20 Mar 2025
https://intel.github.io/neural-compressor/
SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime
auto-tuning awq fp4 gptq int4 int8 knowledge-distillation large-language-models low-precision mxformat post-training-quantization pruning quantization quantization-aware-training smoothquant sparsegpt sparsity
Last synced: 09 Dec 2025
https://github.com/intel/neural-compressor
SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
auto-tuning awq fp4 gptq int4 int8 knowledge-distillation large-language-models low-precision mxformat post-training-quantization pruning quantization quantization-aware-training smoothquant sparsegpt sparsity
Last synced: 12 May 2025
https://github.com/quic/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
auto-ml compression deep-learning deep-neural-networks machine-learning network-compression network-quantization open-source opensource pruning quantization
Last synced: 13 May 2025
https://github.com/666DZY666/micronet
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
batch-normalization-fuse bnn convolutional-networks dorefa group-convolution integer-arithmetic-only model-compression network-in-network network-slimming neuromorphic-computing onnx post-training-quantization pruning pytorch quantization quantization-aware-training tensorrt tensorrt-int8-python twn xnor-net
Last synced: 20 Mar 2025
https://github.com/neuralmagic/sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
automl computer-vision-algorithms deep-learning-algorithms deep-learning-library deep-learning-models image-classification keras nlp object-detection onnx pruning pruning-algorithms pytorch smaller-models sparsification sparsification-recipes sparsity tensorflow transfer-learning
Last synced: 14 May 2025
https://github.com/paddlepaddle/paddleslim
PaddleSlim is an open-source library for deep model compression and architecture search.
bert compression detection distillation ernie nas pruning quantization segmentation sparsity tensorrt transformer yolov5 yolov6 yolov7
Last synced: 14 May 2025
https://github.com/PaddlePaddle/PaddleSlim
PaddleSlim is an open-source library for deep model compression and architecture search.
bert compression detection distillation ernie nas pruning quantization segmentation sparsity tensorrt transformer yolov5 yolov6 yolov7
Last synced: 20 Mar 2025
https://github.com/open-mmlab/mmrazor
OpenMMLab Model Compression Toolbox and Benchmark.
autoslim classification darts detection knowledge-distillation nas pruning pytorch quantization segmentation spos
Last synced: 14 May 2025
https://github.com/peremartra/Large-Language-Model-Notebooks-Course
Practical course about Large Language Models.
chatbots fine-tuning-llm hf huggingface langchain large-language-models peft-fine-tuning-llm pruning transformers vector-database
Last synced: 09 Apr 2025
https://github.com/peremartra/large-language-model-notebooks-course
Practical course about Large Language Models.
chatbots fine-tuning-llm hf huggingface langchain large-language-models peft-fine-tuning-llm pruning transformers vector-database
Last synced: 14 May 2025
https://github.com/tensorflow/model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
compression deep-learning keras machine-learning ml model-compression optimization pruning quantization quantized-networks quantized-neural-networks quantized-training sparsity tensorflow
Last synced: 12 May 2025
https://github.com/cupcakearmy/autorestic
Config driven, easy backup cli for restic.
backup cli config config-driven deduplication incremental incremental-backup pruning restic
Last synced: 14 May 2025
https://github.com/huawei-noah/efficient-computing
Efficient computing methods developed by Huawei Noah's Ark Lab
binary-neural-networks knowledge-distillation model-compression pruning quantization self-supervised
Last synced: 14 May 2025
https://github.com/huawei-noah/Efficient-Computing
Efficient computing methods developed by Huawei Noah's Ark Lab
binary-neural-networks knowledge-distillation model-compression pruning quantization self-supervised
Last synced: 20 Mar 2025
https://github.com/horseee/LLM-Pruner
[NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.
baichuan bloom chatglm compression language-model llama llama-2 llama3 llm neurips-2023 pruning pruning-algorithms vicuna
Last synced: 01 Oct 2025
https://github.com/openvinotoolkit/nncf
Neural Network Compression Framework for enhanced OpenVINO™ inference
bert classification compression deep-learning genai llm mixed-precision-training nlp object-detection onnx openvino pruning pytorch quantization quantization-aware-training semantic-segmentation sparsity tensorflow transformers
Last synced: 13 May 2025
https://github.com/horseee/llm-pruner
[NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.
baichuan bloom chatglm compression language-model llama llama-2 llama3 llm neurips-2023 pruning pruning-algorithms vicuna
Last synced: 16 May 2025
https://github.com/jacobgil/pytorch-pruning
PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
Last synced: 04 Apr 2025
https://github.com/alibaba/tinyneuralnetwork
TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.
deep-learning deep-neural-networks model-compression model-converter post-training-quantization pruning pytorch quantization-aware-training
Last synced: 14 Oct 2025
https://github.com/Syencil/mobile-yolov5-pruning-distillation
mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！
distillation mobile-yolov5s ncnn pruning yolov5
Last synced: 20 Apr 2025
https://github.com/sforaidl/kd_lib
A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
algorithm-implementations benchmarking data-science deep-learning-library knowledge-distillation machine-learning model-compression pruning pytorch quantization
Last synced: 16 May 2025
https://github.com/he-y/filter-pruning-geometric-median
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
model-compression pruning pytorch
Last synced: 04 Apr 2025
https://github.com/princeton-nlp/llm-shearing
[ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
efficiency llama llama2 llm nlp pre-training pruning
Last synced: 04 Apr 2025
https://github.com/princeton-nlp/LLM-Shearing
[ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
efficiency llama llama2 llm nlp pre-training pruning
Last synced: 16 Apr 2025
https://github.com/huggingface/optimum-intel
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
diffusers distillation inference intel onnx openvino optimization pruning quantization transformers
Last synced: 14 Oct 2025
https://github.com/ModelTC/llmc
[EMNLP 2024 Industry Track] This is the official PyTorch implementation of "LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit".
awq benchmark deployment evaluation internlm2 large-language-models lightllm llama3 llm lvlm mixtral omniquant post-training-quantization pruning quantization quarot smoothquant spinquant tool vllm
Last synced: 23 Apr 2025
https://github.com/SpursLipu/YOLOv3v4-ModelCompression-MultidatasetTraining-Multibackbone
YOLO ModelCompression MultidatasetTraining
mobilenetv3 modelcompression multidataset object-detection pruning quantization-aware-training yolo
Last synced: 20 Apr 2025
https://github.com/BenWhetton/keras-surgeon
Pruning and other network surgery for trained Keras models.
deep-learning keras network-surgery pruning
Last synced: 20 Mar 2025
https://github.com/airaria/textpruner
A PyTorch-based model pruning toolkit for pre-trained language models
model-pruning pre-trained-language-models pruning transformer
Last synced: 05 Apr 2025
https://github.com/airaria/TextPruner
A PyTorch-based model pruning toolkit for pre-trained language models
model-pruning pre-trained-language-models pruning transformer
Last synced: 09 May 2025
https://github.com/he-y/soft-filter-pruning
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
model-compression pruning pytorch
Last synced: 06 Apr 2025
https://github.com/neuralmagic/sparsezoo
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
computer-vision deep-learning-algorithms deep-learning-models mobilenet models-optimized nlp object-detection-model pretrained-models pruning quantization resnet smaller-models sparse-quantized-models sparsification-recipe transfer-learning yolo
Last synced: 16 May 2025
https://github.com/datawhalechina/llm-deploy
大模型/LLM推理和部署理论与实践
knowledge-distillation llm llm-deploy lora pruning quantization
Last synced: 30 Jan 2026
https://github.com/fastmachinelearning/hls4ml-tutorial
Tutorial notebooks for hls4ml
fpga hls4ml machine-learning pruning quantization-aware-training tutorial
Last synced: 16 May 2025
https://github.com/megvii-research/Sparsebit
A model compression and acceleration toolbox based on pytorch.
deep-learning post-training-quantization pruning quantization quantization-aware-training sparse tensorrt
Last synced: 12 May 2025
https://github.com/neuralmagic/sparsify
ML model optimization product to accelerate inference.
automl computer-vision deep-learning-accelerator image-classification inference-performance keras object-detection onnx pruning pytorch quantization smaller-models sparsification-recipe sparsify tensorflow
Last synced: 12 Apr 2025
https://github.com/FasterAI-Labs/fasterai
FasterAI: Prune and Distill your models with FastAI and PyTorch
compression fastai knowledge-distillation pruning pytorch
Last synced: 04 May 2025
https://github.com/j-marple-dev/model_compression
PyTorch Model Compression
lottey-ticket-hypothesis pruning pytorch quantization
Last synced: 03 May 2025
https://github.com/arcee-ai/pruneme
Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models
llm merging pruning pruning-algorithms
Last synced: 09 Apr 2025
https://github.com/shekkizh/neuralnetworks.thought-experiments
Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
generative-adversarial-network generative-model neural-network optimal-brain-damage pruning uncertainty-neural-networks
Last synced: 22 Jun 2025
https://github.com/princeton-nlp/cofipruning
[ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
bert model-compression nlp pruning
Last synced: 27 Apr 2025
https://github.com/jack-willturner/deep-compression
Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626
deep-learning pruning pytorch sparsity
Last synced: 03 Apr 2025
https://github.com/sayakpaul/adventures-in-tensorflow-lite
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
inference model-optimization model-quantization on-device-ml post-training-quantization pruning quantization-aware-training tensorflow-2 tensorflow-lite tf-hub tf-lite-model
Last synced: 20 Sep 2025
https://github.com/sayakpaul/Adventures-in-TensorFlow-Lite
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
inference model-optimization model-quantization on-device-ml post-training-quantization pruning quantization-aware-training tensorflow-2 tensorflow-lite tf-hub tf-lite-model
Last synced: 09 Jul 2025
https://github.com/jshilong/fisherpruning
Group Fisher Pruning for Practical Network Compression(ICML2021)
Last synced: 02 Oct 2025
https://github.com/arcee-ai/PruneMe
Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models
llm merging pruning pruning-algorithms
Last synced: 16 Apr 2025
https://github.com/lucaslie/torchprune
A research library for pytorch-based neural network pruning, compression, and more.
compression coresets deep-learning filter-pruning generalization-ability machine-learning neural-architecture-search neural-networks pruning pruning-algorithms pytorch sparsification sparsity tensor-decomposition tinyml weight-pruning
Last synced: 08 Jan 2026
https://datawhalechina.github.io/llm-deploy/
大模型/LLM推理和部署理论与实践
knowledge-distillation llm llm-deploy lora pruning quantization
Last synced: 24 Sep 2025
https://github.com/juliagusak/model-compression-and-acceleration-progress
Repository to track the progress in model compression and acceleration
acceleration architecture-search compression knowledge-distillation low-rank neural-network pruning sparsification tensor-decomposition
Last synced: 11 Nov 2025
https://github.com/bzantium/pytorch-admm-pruning
Prune DNN using Alternating Direction Method of Multipliers (ADMM)
admm deep-neural-networks pruning
Last synced: 30 Apr 2025
https://github.com/kssteven418/ltp
[KDD'22] Learned Token Pruning for Transformers
bert efficient-model efficient-neural-networks model-compression natural-language-processing pruning transformer
Last synced: 03 Sep 2025
https://github.com/xuxw98/DSPDet3D
[ECCV 2024] 3D Small Object Detection with Dynamic Spatial Pruning
3d-object-detection 3d-scene-understanding dynamic-neural-network eccv2024 efficient-networks matterport3d object-detection point-cloud point-clouds pruning robotics scannet small-object-detection sparse-convolution
Last synced: 20 Mar 2025
https://github.com/vita-group/svite
[NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang
dynamic-sparsity efficient-transformers model-compression pruning sparse-training token-slimming vision-transformers
Last synced: 19 Apr 2025
https://github.com/hunto/image_classification_sota
Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.
cifar image-classification imagenet kd nas pruning pytorch rep transformer vit
Last synced: 03 Feb 2026
https://github.com/julesbelveze/bert-squeeze
🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
bert deebert distillation fastbert lstm nlp pruning pytorch-lightning quantization theseus transformers
Last synced: 07 Apr 2025
https://github.com/luxdamore/nuxt-prune-html
🔌⚡ Nuxt module to prune html before sending it to the browser (it removes elements matching CSS selector(s)), useful for boosting performance showing a different HTML for bots/audits by removing all the scripts with dynamic rendering
audit bot cheerio dynamic-rendering html lighthouse measure modules nuxt nuxt-module nuxtjs optimization optimization-algorithms optimize pagespeed-insights performance prune pruning vuejs web-vitals
Last synced: 07 May 2025
https://github.com/LuXDAmore/nuxt-prune-html
🔌⚡ Nuxt module to prune html before sending it to the browser (it removes elements matching CSS selector(s)), useful for boosting performance showing a different HTML for bots/audits by removing all the scripts with dynamic rendering
audit bot cheerio dynamic-rendering html lighthouse measure modules nuxt nuxt-module nuxtjs optimization optimization-algorithms optimize pagespeed-insights performance prune pruning vuejs web-vitals
Last synced: 30 Mar 2025
https://github.com/vita-group/random_pruning
[ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
deeplearning erk grasp pruning pruningatinitialization randompruning snip sparsetraining
Last synced: 19 Apr 2025
https://github.com/jack-willturner/batchnorm-pruning
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124
batchnorm deep-learning lasso pruning sgd
Last synced: 02 Sep 2025
https://github.com/apple/ml-upscale
Export utility for unconstrained channel pruned models
deep-learning export machine-learning pruning
Last synced: 19 Oct 2025
https://github.com/vita-group/unified-lth-gnn
[ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhangyang Wang
co-design co-optimization graph-neural-networks graph-sparsification lottery-ticket-hypothesis pruning
Last synced: 19 Apr 2025
https://github.com/denji/jetbrains-utility
Remove/Backup – settings & cli for macOS (OS X) – DataGrip, AppCode, CLion, Gogland, IntelliJ, PhpStorm, PyCharm, Rider, RubyMine, WebStorm
appcode backup cleaner cleanup clion datagrid gogland intellij jetbrains macos macosx osx phpstorm pruning pycharm rider rubymine script webstorm
Last synced: 29 Sep 2025
https://github.com/vita-group/atmc
[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”
model-compression pruning quantization robustness unified-optimization-framework
Last synced: 07 Aug 2025
https://github.com/joisino/speedbook
書籍『深層ニューラルネットワークの高速化』のサポートサイトです。
deep-learning deep-neural-networks distillation efficiency neural-networks pruning pytorch quantization
Last synced: 24 Oct 2025
https://github.com/guaishou74851/adcsr
(CVPR 2025) Adversarial Diffusion Compression for Real-World Image Super-Resolution [PyTorch]
adversarial-diffusion-compression adversarial-distillation computer-vision cvpr2025 deep-learning deep-neural-networks diffusion-models image-reconstruction image-restoration one-step-diffusion one-step-diffusion-model pruning python python3 pytorch super-resolution
Last synced: 15 Apr 2025
https://github.com/alexfjw/prunnable-layers-pytorch
Prunable nn layers for pytorch.
cnn compression deep deep-learning deeplearning implementation pruning pytorch research
Last synced: 14 Apr 2025
https://github.com/gaborvecsei/ridurre-network-filter-pruning-keras
Keras model convolutional filter pruning package
deep-learning filter-pruning keras keras-layer machine-learning network pruning python python3 tensorflow
Last synced: 21 Mar 2025
https://github.com/sanster/pytorch-network-slimming
A package to make do Network Slimming a little easier
network-slimming pruning pytorch
Last synced: 13 Jun 2025
https://github.com/mit-han-lab/neurips-micronet
[JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion
efficient-model knowledge-distillation language-modeling natural-language-processing pruning quantization
Last synced: 07 Jul 2025
https://github.com/roim1998/apt
[ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
bert efficient-deep-learning llama2 llm llm-finetuning peft peft-fine-tuning-llm pruning roberta t5
Last synced: 16 May 2025
https://github.com/vita-group/sparsity-win-robust-generalization
[ICLR 2022] "Sparsity Winning Twice: Better Robust Generalization from More Efficient Training" by Tianlong Chen*, Zhenyu Zhang*, Pengjun Wang*, Santosh Balachandra*, Haoyu Ma*, Zehao Wang, Zhangyang Wang
dynamic-sparse-training generalization lottery-ticket-hypothesis pruning robust-generalization robust-overfitting sparsity
Last synced: 29 Oct 2025
https://github.com/eidoslab/simplify
Simplification of pruned models for accelerated inference | SoftwareX https://doi.org/10.1016/j.softx.2021.100907
deep-learning optimization pruning
Last synced: 24 Jun 2025
https://github.com/kentaroy47/deep-compression.pytorch
Unofficial Pytorch implementation of Deep Compression in CIFAR10
accuracy checkpoint deep-compression pruning pytorch resnet
Last synced: 10 Oct 2025
https://github.com/raukk/tf-keras-surgeon
Pruning and other network surgery for trained TF.Keras models.
deep-learning deep-neural-networks keras-tensorflow network-surgery neurel-network pruning tensorflow tensorflow-keras
Last synced: 18 Apr 2025
https://github.com/sjmikler/snip-pruning
Reproduction and analysis of SNIP paper
Last synced: 09 Mar 2025
https://github.com/vita-group/sfw-once-for-all-pruning
[ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, Tianlong Chen, Wuyang Chen, Dong Liu, Zhangyang Wang
once-and-for-all pruning sparse-neural-networks stochastic-frank-wolfe
Last synced: 19 Apr 2025
https://github.com/gfrogat/prunhild
A small library implementing magnitude-based pruning in PyTorch
lottery-ticket-hypothesis pruning pytorch
Last synced: 23 Jul 2025
https://github.com/vita-group/smc-bench
[ICLR 2023] "Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!" Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, AJAY KUMAR JAISWAL, Zhangyang Wang
benchmark deep-learning dynamic-sparse-training pruning sparse-neural-networks sparsity
Last synced: 19 Apr 2025
https://github.com/tearth/cosette
UCI chess engine written in C# for .NET platform.
alpha-beta-pruning bitboards chess chess-engine chessprogramming dotnet evaluation negamax pruning uci uci-engine
Last synced: 17 Jul 2025
https://github.com/vita-group/gan-lth
[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen
gan generative-adversarial-network lottery-ticket-hypothesis pruning transfer
Last synced: 19 Apr 2025
https://github.com/modeltc/llmc
llmc is an efficient LLM compression tool with various advanced compression methods, supporting multiple inference backends.
benchmark deployment evaluation large-language-models llm pruning quantization tool
Last synced: 04 Apr 2025
https://github.com/drchainsaw/naivenasflux.jl
Your local Flux surgeon
architecture-search deep-learning flux hyperparameter-optimization machine-learning morphisms mutation neural-networks pruning transfer-learning
Last synced: 01 Jan 2026
https://github.com/fajieyuan/universal_user_representation
papers of universal user representation learning for recommendation
bert catastrophic-forgetting cold-start continual-learning cross-domain-recommendation general-purpose item-recommendation lifelong-learning multi-domain-recommendation pre-training pruning recommender-system representation-learning transfer transfer-learning transformer trimming user-modeling user-profiling user-representation
Last synced: 03 Oct 2025
https://github.com/z7zuqer/model-compression-and-acceleration-4-dnn
model-compression-and-acceleration-4-DNN
decomposition distillation model-compression pruning quantization
Last synced: 04 Jan 2026
https://github.com/zhengaoli/disp-llm-dimension-independent-structural-pruning
An implementation of the DISP-LLM method from the NeurIPS 2024 paper: Dimension-Independent Structural Pruning for Large Language Models.
llama llm neurips neurips2024 pruning
Last synced: 06 Oct 2025
https://github.com/zjcv/ssl
[NIPS 2016] Learning Structured Sparsity in Deep Neural Networks
channel-pruning filter-pruning layer-pruning network-pruning pruning pytorch resnet structured-sparsity-learning vggnet zcls
Last synced: 12 May 2025
https://github.com/huangcongqing/model-compression-optimization
model compression and optimization for deployment for Pytorch, including knowledge distillation, quantization and pruning.(知识蒸馏，量化，剪枝)
knowledge-distillation model-compression nas pruning pytorch quantization quantized-networks sparsity sparsity-optimization
Last synced: 05 May 2025
https://github.com/alexfjw/jp-ocr-prunned-cnn
Attempting feature map prunning on a CNN trained for Japanese OCR
deep-learning japanese ocr pruning pytorch
Last synced: 14 Apr 2025
https://github.com/mxbonn/ltmp
Code for Learned Thresholds Token Merging and Pruning for Vision Transformers (LTMP). A technique to reduce the size of Vision Transformers to any desired size with minimal loss of accuracy.
computer-vision deep-learning efficiency pruning transformer vision-transformer
Last synced: 07 May 2025
