1340 Open source projects that are alternatives of or similar to awesome-computer-vision-models

A list of popular deep learning models related to classification, segmentation and detection problems

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

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

Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.

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

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

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

No description or website provided.

Computer vision library for wildfire detection

Gluon to PyTorch deep neural network model converter

A collection of deep learning models (PyTorch implemtation)

PyTorch implementation of CNNs for CIFAR benchmark

PyTorch to Keras model convertor

Classification models trained on ImageNet. Keras.

ASR with PyTorch

High level network definitions with pre-trained weights in TensorFlow

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

Speech commands recognition with PyTorch

[ICLR2022] official implementation of UniFormer

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

采用深度学习方法进行刀具识别。

No description or website provided.

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

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

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

Keras implementation of a ResNet-CAM model

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

♾A curated list of papers and code about very deep neural networks

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Classification with PyTorch.

Gluon to PyTorch deep neural network model converter

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

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

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Various CNN models for CIFAR10 with Chainer

OpenMMLab Image Classification Toolbox and Benchmark

猫狗大战

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

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Gluon CV Toolkit

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

🙄 Difficult algorithm, Simple code.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

🔥🔥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）🔥🔥

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

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.

Sandbox for training deep learning networks

Paper notes in deep learning/machine learning and computer vision

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

Deep learning codes and projects using Python

Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

PyTorch to Keras model convertor

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.