723 Open source projects that are alternatives of or similar to BottleneckTransformers

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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

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

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.

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Tool to gather main colors of an image using Unity.

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

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

Official repository for Big-Little Net

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

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

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

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

A collection of SOTA Image Classification Models in PyTorch

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".

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

[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.

Classification with PyTorch.

OpenMMLab Image Classification Toolbox and Benchmark

Sandbox for training deep learning networks

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

Paper notes in deep learning/machine learning and computer vision

A Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Modernize and Extend: JPetStore on IBM Cloud Kubernetes Service

Parametric Contrastive Learning (ICCV2021)

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

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

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

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

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

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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

Train the HRNet model on ImageNet

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

Powerful and efficient Computer Vision Annotation Tool (CVAT)

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

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.

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

[AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"

PyTorch implementation of shake-drop regularization

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

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

Compare neural networks by their feature similarity

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

[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"

Chrome browser extension for using TensorFlow image recognition on web pages

Implementation of Conv-based and Vit-based networks designed for CIFAR.

Binary Image Classification in TensorFlow

CNN image classifier implemented in Keras Notebook 🖼️.

🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

Balanced Multiclass Image Classification with TensorFlow on Python.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Pre-trained VGG-Net Model for image classification using tensorflow

No description or website provided.