841 Open source projects that are alternatives of or similar to Fishnet

Sandbox for training deep learning networks

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

A collection of SOTA Image Classification Models in PyTorch

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

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

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

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Train the HRNet model on ImageNet

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

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Parametric Contrastive Learning (ICCV2021)

No description or website provided.

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

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

[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"

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

High-performance Vision library in Python. Scale your research, not boilerplate.

Powerful and efficient Computer Vision Annotation Tool (CVAT)

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

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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

PyTorch extensions for fast R&D prototyping and Kaggle farming

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

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

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

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

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

[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.

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.

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

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

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

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

OpenMMLab Image Classification Toolbox and Benchmark

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

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

Bottleneck Transformers for Visual Recognition

Segmentation models with pretrained backbones. PyTorch.

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

Efficient Learning of Augmentation Policy Schedules

Implementation of Bottleneck Transformer in Pytorch

[CVPR2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

Gluon CV Toolkit

SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.

MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects

Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Intel / AMD CPU Internals

A Japanese Tokenizer for Business

Image Test Time Augmentation with PyTorch!

Semantic Human Matting

Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.

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

RMDL: Random Multimodel Deep Learning for Classification

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

Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).