814 Open source projects that are alternatives of or similar to Vnet.pytorch

This is a fully convolutional neural net exercise to detect houses from aerial images.

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Semantically segment the road in the given image.

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

Deep and Machine Learning for Microscopy

Convolutional Neural Networks for Cardiac Segmentation

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Be Driven 🚘

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

A curated list of resources focused on Machine Learning in Geospatial Data Science.

PSPNet in Chainer

BCDU-Net : Medical Image Segmentation

Tensorflow implementation : U-net and FCN with global convolution

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

🚘 Easiest Fully Convolutional Networks

Semantic Segmentation Architectures Implemented in PyTorch

PyTorch for Semantic Segmentation

🚀 😏 Near Real Time CPU Face detection using deep learning

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

Semantic segmentation on iPhone using ESPNetv2

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

[CVPR2020] GhostNet: More Features from Cheap Operations

Pytorch for Segmentation

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Draw multi-layer neural network in your browser

Building Convolutional Neural Networks From Scratch using NumPy

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

A brand logo detection system using tensorflow object detection API.

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

Convolutional Neural Network for Human Activity Recognition in Tensorflow

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

Corruption and Perturbation Robustness (ICLR 2019)

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

Implementation of State-of-the-art Text Classification Models in Pytorch

This is an open sourced book on deep learning.

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

RMDL: Random Multimodel Deep Learning for Classification

Digit recognition with Convolutional Neural Networks in WebGL

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Efficient Learning of Augmentation Policy Schedules

STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)

Real-Time 3D Semantic Reconstruction from 2D data

Dataset of images of trash; Torch-based CNN for garbage image classification

Deep Convolutional Neural Networks for Musical Source Separation

A semantic segmentation toolbox based on PyTorch

Vehicle detection using YOLO in Keras runs at 21FPS