351 Open source projects that are alternatives of or similar to Micronet

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

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

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

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

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

Infrastructures™ for Machine Learning Training/Inference in Production.

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

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

A curated list of neural network pruning resources.

CVPR 2021 : Zero-shot Adversarial Quantization (ZAQ)

reference pytorch code for named entity tagging

A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

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

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

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

An Open Source Deep Learning Inference Engine Based on FPGA

PyTorch Model Compression

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

PyTorch Project Specification.

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

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.

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

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

(CVPR 2021, Oral) Dynamic Slimmable Network

Pruning and quantization for SSD. Model compression.

[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

Embedded and mobile deep learning research resources

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

R Interface to Open Neural Network Exchange (ONNX)

ML.NET Workshop to predict car sales prices

SDK for TEE AI Stick (includes model training script, inference library, examples)

pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"

Image Captioning: Implementing the Neural Image Caption Generator with python

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Trainable models and NN optimization tools

A Conversion tool to convert YOLO v3 Darknet weights to TF Lite model (YOLO v3 PyTorch > ONNX > TensorFlow > TF Lite), and to TensorRT (YOLO v3 Pytorch > ONNX > TensorRT).

Tensorflow Backend for ONNX

This project is the official implementation of our accepted ICLR 2021 paper BiPointNet: Binary Neural Network for Point Clouds.

doing audio digital signal processing in tensorflow to try to recreate digital audio effects

An ONNX (Open Neural Network eXchange) API and Backend for Typeful, Functional Deep Learning in Scala

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

Pruning and other network surgery for trained TF.Keras models.

Convert TensorFlow models to ONNX

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

libimagequant (pngquant) bindings for the Rust language

A set of tool which would make your life easier with Tensorrt and Onnxruntime. This Repo is designed for YoloV3

PyTorch and Keras model training and layer saturation monitor

CNN visualization tool in TensorFlow

Multi Model Server is a tool for serving neural net models for inference

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。