318 Open source projects that are alternatives of or similar to Hbonet

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

Caffe Implementation of Google's MobileNets (v1 and v2)

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

Classification models trained on ImageNet. Keras.

Sandbox for training deep learning networks

Segmentation models with pretrained backbones. PyTorch.

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

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

Implementation of EfficientNet model. Keras and TensorFlow Keras.

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

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

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

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

73.6% GhostNet 1.0x pre-trained model on ImageNet

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

MobileNetV3 in pytorch and ImageNet pretrained models

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

tensorflow implementation for "High-Resolution Representations for Labeling Pixels and Regions"

The PyTorch-based audio source separation toolkit for researchers

Supplementary information and code for the paper: An efficient deep learning model for musical onset detection

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

👁 Bulk-download all thumbnails from an ImageNet synset, with optional rescaling

Generate mini-ImageNet with ImageNet for fewshot learning

Official repository for Big-Little Net

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

Porting pytorch dcgan on FloydHub

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

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

🍊 🎑 Orange3 add-on for dealing with image related tasks

Classification with PyTorch.

Repository containing an independent implementation of the paper: "A Fully Progressive Approach to Single-Image Super-Resolution"

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Pytorch-Named-Entity-Recognition-with-BERT

PSPNet in Chainer

Keras implementation of BERT with pre-trained weights

Trial on kaggle imagenet object localization by yolo v3 in google cloud

Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

Repository for "Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation".

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Multiple basenet MobileNet v1,v2, ResNet combined with SSD detection method and it's variants such as RFB, FSSD etc.

GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型

Evaluation of the CNN design choices performance on ImageNet-2012.

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

PyTorch to Keras model convertor

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"