111 Open source projects that are alternatives of or similar to Filter Pruning Geometric Median

[ICLR'21] PyTorch code for our paper "Neural Pruning via Growing Regularization"

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”

Infrastructures™ for Machine Learning Training/Inference in Production.

A pytorch pruning toolkit for structured neural network pruning and layer dependency maintaining.

Awesome machine learning model compression research papers, tools, and learning material.

针对pytorch模型的自动化模型结构分析和修改工具集，包含自动分析模型结构的模型压缩算法库

[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

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

(CVPR 2021, Oral) Dynamic Slimmable Network

A curated list of neural network pruning resources.

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

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

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

FasterAI: A repository for making smaller and faster models with the FastAI library.

🔌⚡ 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

A package to make do Network Slimming a little easier

Implement of Dynamic Model Pruning with Feedback with pytorch

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Unofficial Pytorch implementation of Deep Compression in CIFAR10

BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.

[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

OpenMMLab Model Compression Toolbox and Benchmark.

Prunable nn layers for pytorch.

A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

It is a blueprint to data science from the mathematics to algorithms. It is not completed.

This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"

Automatic DNN compression tool with various model compression and neural architecture search techniques

Group Fisher Pruning for Practical Network Compression(ICML2021)

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint

Attempting feature map prunning on a CNN trained for Japanese OCR

YOLO ModelCompression MultidatasetTraining

A research library for pytorch-based neural network pruning, compression, and more.

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

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

CVPR 2021 : Zero-shot Adversarial Quantization (ZAQ)

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

Remove/Backup – settings & cli for macOS (OS X) – DataGrip, AppCode, CLion, Gogland, IntelliJ, PhpStorm, PyCharm, Rider, RubyMine, WebStorm

⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).

Your local Flux surgeon

Deep Learning for Computer Vision (CommE 5052) in NTU

Deep Face Model Compression

Java interface for fastText

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

One Person, One Model, One World: Learning Continual User Representation without Forgetting

Efficient-Computing

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

Model Compression CLI Tool for Keras.

Learnable Embedding Space for Efficient Neural Architecture Compression

Code for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019) and "SCOP: Scientific Control for Reliable Neural Network Pruning" (NeurIPS 2020).

Yolov5 distillation training | Yolov5知识蒸馏训练，支持训练自己的数据

PyTorch Implementation of Weights Pruning

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

pytorch realtime multi person keypoint estimation

yolov3 network slimming剪枝的一种实现