76 Open source projects that are alternatives of or similar to Vision_networks

基于卷积神经网络的语音识别声学模型的研究

基于深度学习识别12306验证码

SRDenseNet-pytorch（ICCV_2017）

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

Classification models trained on ImageNet. Keras.

Using yolo v3 object detection on ios platform.

3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)

A PyTorch Implementation of "Densely Connected Convolutional Networks"

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

AI Challenger 2018 农作物病害检测

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)

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

用python做计算机视觉，人工智能，机器学习，深度学习等

PeleeNet: An efficient DenseNet architecture for mobile devices

Using DenseNet for human pose estimation based on TensorFlow.

ASR with PyTorch

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

CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

Densely Connected Convolutional Network implementation by Chainer

This is a SE_DenseNet which contains a senet (Squeeze-and-Excitation Networks by Jie Hu, Li Shen, and Gang Sun) module, written in Pytorch, train, and eval codes have been released.

A clean densenet in tensorflow

Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet

A collection of deep learning models (PyTorch implemtation)

Play deep learning with CIFAR datasets

Weakly Supervised Learning for Findings Detection in Medical Images

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

DenseNet implementation in Keras

Gluon to PyTorch deep neural network model converter

Various CNN models for CIFAR10 with Chainer

我的笔记和Demo，包含分类，检测、分割、知识蒸馏。

Speech commands recognition with PyTorch

Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow

DenseFuse (IEEE TIP 2019) - TensorFlow 1.8.0

PyTorch to Keras model convertor

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)

Reimplementation of DenseNet

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Pytorch implementation for SRDenseNet (ICCV2017)

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

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

A memory-efficient implementation of DenseNets

3D DenseNet(torch version) for ModelNet40 dataset

Classification with PyTorch.

MXNet implementation for DenseNet

Gluon to PyTorch deep neural network model converter

采用深度学习方法进行刀具识别。

reference pytorch code for named entity tagging

A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)

High level network definitions with pre-trained weights in TensorFlow

No description or website provided.

Fully convolutional deep neural network to remove transparent overlays from images

This project is a tool to build CheXNet-like models, written in Keras.

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

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Implementation of DenseNet model on Standford's MURA dataset using PyTorch

Computer vision library for wildfire detection

Train DenseNet on Cifar-10 based on Keras

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

Accelerate Neural Net Training by Progressively Freezing Layers