152 Open source projects that are alternatives of or similar to Moga

Keras implementation of Mobile Networks

Unsupervised Feature Learning via Non-parametric Instance Discrimination

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

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

A Caffe Re-Implementation of SENet

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

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

Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）

Collection of computer vision models, ready to be included in a JVM project

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

Adaptive Real-Time Object Detection System with HOG and CNN Features

A light-weight, power efficient, and general purpose convolutional neural network

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

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

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

🔥 Reproducibly benchmarking Keras and PyTorch models

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

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

Unofficial PyTorch Reimplementation of RandAugment.

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

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

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

PyTorch implementation of PNASNet-5 on ImageNet

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

Comparison of famous convolutional neural network models

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

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

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

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

Train ResNet on ImageNet in Tensorflow 2.0; ResNet 在ImageNet上完整训练代码

Python scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX. The repository combines a class agnostic object localizer to first detect the objects in the image, and next a ResNet50 model trained on ImageNet is used to label each box.

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

Keras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox

Porting pytorch dcgan on FloydHub

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

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

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

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

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

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

Generate mini-ImageNet with ImageNet for fewshot learning

Selective Classification For Deep Neural Networks.

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.

Unofficial TensorFlow implementation of "AlexNet" architecture.

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

A collection of SOTA Image Classification Models in PyTorch

train resnet on imagenet from scratch with caffe

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

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

Etiketai is an online tool designed to label images, useful for training AI models

Implementation of EfficientNet model. Keras and TensorFlow Keras.

PyTorch to Keras model convertor

Tools for generating mini-ImageNet dataset and processing batches

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

Sandbox for training deep learning networks

⚡ Useful scripts when using TensorRT

A pytorch implementation of VoVNet

Train the HRNet model on ImageNet