43 Open source projects that are alternatives of or similar to Bilinear_CNN

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

用python做计算机视觉，人工智能，机器学习，深度学习等

This is a Chinese Character ocr system based on Deep learning (VGG like CNN neural net work),this rep include trainning set generating,image preprocesing,NN model optimizing based on Keras high level NN framwork

Mainly use SSD, YOLO and other models to solve the target detection problem in image and video !

This is a code repository for pytorch c++ (or libtorch) tutorial.

Identifying numbers from bankcard, based on Deep Learning with Keras [China Software Cup 2019]

记录每一个常用的深度模型结构的特点（图和代码）

Tensorflow + python + bilinear cnn 本项目最终排名 15/1386

No description or website provided.

AI Papers

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Implement of Openpose use Tensorflow

Artificial Intelligence Learning Notes.

An easy implement of VGG19 with tensorflow, which has a detailed explanation.

AI场景分类竞赛

Implementation of popular deep learning networks with TensorRT network definition API

Pyramidbox implement with pytorch

Various CNN models for CIFAR10 with Chainer

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

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)

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.

An Implementation of Fully Convolutional Networks in Tensorflow.

本代码加入了神经风格迁移中文注释，更易理解，同时新加入begin.py可直接运行调试。

High level network definitions with pre-trained weights in TensorFlow

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

Classification models trained on ImageNet. Keras.

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

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

Computer vision based ML training data generation tool 🚀

food image to recipe with deep convolutional neural networks.

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

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

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

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

Neural Style implementation in PyTorch! 🎨

VGG-Face CNN descriptor in PyTorch.

TensorFlow implementation of Faster RCNN for Object Detection

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

practice on CIFAR10 with Keras

我的笔记和Demo，包含分类，检测、分割、知识蒸馏。

Age and Gender Estimation Using Convolutional Neural Network

PyTorch implementation of DeepDream algorithm