273 Open source projects that are alternatives of or similar to ghostnet.pytorch

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

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Sandbox for training deep learning networks

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

ImageNet pre-trained models with batch normalization for the Caffe framework

Easily train or fine-tune SOTA computer vision models with one open source training library

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

Segmentation models with pretrained backbones. PyTorch.

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

Classification models trained on ImageNet. Keras.

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

Implementing Searching for MobileNetV3 paper using Pytorch

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

A Robustly Optimized BERT Pretraining Approach for Vietnamese

MoGA: Searching Beyond MobileNetV3

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'

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".

🤖 Cozmo the Robot recognizes objects with TensorFlow

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

Tools for generating mini-ImageNet dataset and processing batches

MobileNetV3 SSD的简洁版本

A plug-in replacement for DataLoader to load ImageNet disk-sequentially in PyTorch.

Train faster rcnn on imagine dataset, related blog post: https://andrewliao11.github.io/object/detection/2016/07/23/detection/

PyTorch C++ inference with LibTorch

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

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

Xception implemented with caffe

中文语音识别系列，读者可以借助它快速训练属于自己的中文语音识别模型，或直接使用预训练模型测试效果。

Detect various irregularities of a product as it moves along a conveyor belt.

A Caffe Re-Implementation of SENet

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Code for CheXpert Challenge 2019 Top 1 && Top 2 solution

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

No description or website provided.

custom implementation alexnet with tensorflow

implement AlexNet with C / convolutional nerual network / machine learning / computer vision

AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0

A lightweight convolutional neural network

⚡ Useful scripts when using TensorRT

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Learning To Compare For Text , Few shot learning in text classification

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf