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

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

Convolutional (Patch) Networks for Semantic Segmentation

Object classification with CIFAR-10 using transfer learning

A convolutional neural network from scratch

Reference caffe implementation of LSUV initialization

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Paper Lists for Graph Neural Networks

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

Bring Deep Learning to small devices

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework

A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"

Quantization of Convolutional Neural networks.

Fast inference engine for OpenNMT models

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow

PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

Collections of model quantization algorithms

Reducing the size of convolutional neural networks

FrostNet: Towards Quantization-Aware Network Architecture Search

Powerful, automated analysis and design of quantum microwave chips & devices [Energy-Participation Ratio and more]

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

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

Java interface for fastText

Deep Face Model Compression

Model Compression CLI Tool for Keras.

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

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

yolov3 by pytorch

PyTorch code for our CVPR'20 paper "Collaborative Distillation for Ultra-Resolution Universal Style Transfer"

Programmable Neural Network Compression

MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images

papers about model compression

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

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 implicit filter level sparsity in Convolutional Neural Networks".

Caffe for Sparse Convolutional Neural Network

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

Pytorch implementation of our CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

Filter Grafting for Deep Neural Networks(CVPR 2020)

Simple and Distributed Machine Learning