152 Open source projects that are alternatives of or similar to Meal V2

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.

A collection of SOTA Image Classification Models in PyTorch

PyTorch implementation of PNASNet-5 on ImageNet

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

Autoencoder trained on ImageNet Using Torch 7

Unofficial PyTorch Reimplementation of RandAugment.

Selective Classification For Deep Neural Networks.

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

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

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

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

PyTorch implementation of EfficientNetV2 family

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

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

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

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

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

Unofficial TensorFlow implementation of "AlexNet" architecture.

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

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

Comparison of famous convolutional neural network models

Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet

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

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

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

PyTorch to Keras model convertor

Bottleneck Transformers for Visual Recognition

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

Open Set Recognition

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

TensorFlow ImageNet - Training and SOTA checkpoints

Friendly machine learning for the web! 🤖

🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.

A Harder ImageNet Test Set (CVPR 2021)

PyTorch implementation of Lambda Network and pretrained Lambda-ResNet

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Pytorch code to generate adversarial examples on mnist and ImageNet data.

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

OpenMMLab Image Classification Toolbox and Benchmark

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

Segmentation models with pretrained backbones. PyTorch.

Compare neural networks by their feature similarity

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

Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Corruption and Perturbation Robustness (ICLR 2019)

Training Low-bits DNNs with Stochastic Quantization

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

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

Unsupervised Feature Learning via Non-parametric Instance Discrimination

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

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

🔥 Reproducibly benchmarking Keras and PyTorch models

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.