965 Open source projects that are alternatives of or similar to Deepcut

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Deep neural network to extract intelligent information from invoice documents.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

CRF-RNN PyTorch version http://crfasrnn.torr.vision

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

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

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

Sparse and structured neural attention mechanisms

Tunable U-Net implementation in PyTorch

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Pruning and other network surgery for trained TF.Keras models.

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Distributed Keras Engine, Make Keras faster with only one line of code.

High Quality Monocular Depth Estimation via Transfer Learning

3D Unet Equipped with Advanced Deep Learning Methods

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Smart India Hackathon 2019 project given by the Department of Atomic Energy

deep learning based speech enhancement using keras or pytorch, make it easy to use

Recurrent Geometric Networks for end-to-end differentiable learning of protein structure

VDSR (CVPR2016) pytorch implementation

A fast Clojure Tensor & Deep Learning library

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

Transfer learning for time series classification

YOLO for object detection tasks

Generic framework for historical document processing

a multi-browser download manager with multi-threading support

BCDU-Net : Medical Image Segmentation

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

Segmentation models with pretrained backbones. PyTorch.

Holistically-Nested Edge Detection

PAddle PARAllel text-to-speech toolKIT (supporting WaveFlow, WaveNet, Transformer TTS and Tacotron2)

DilatedNet in Keras for image segmentation

A curated list of awesome Distributed Deep Learning resources.

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

Photographing Chinese-Address OCR implemented using CTPN+CTC+Address Correction. 拍照文档中文地址文字识别。

A curated list of awesome deep vision web demo

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network' paper https://arxiv.org/abs/1807.04067

This is a repository for an object detection inference API using the Tensorflow framework.

Deep Reinforcement Learning library for humans

CharlesCD is an open source tool that makes deployments more agile, continuous and safe, which allows development teams to perform hypothesis validations with a specific group of users, simultaneously.

Code for CVPR'18 spotlight "Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer"

⏰ AI conference deadline countdowns

Code for reproducing Manifold Mixup results (ICML 2019)

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.

RAD: Reinforcement Learning with Augmented Data

Deep Neural Network for Sentiment Analysis on Twitter

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

Multi-platform, free open source software for visualization and image computing.

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