912 Open source projects that are alternatives of or similar to Pytorch Unet

Learning Chinese Character style with conditional GAN

TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.

Video Object Segmentation

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Kaggle Data Science Bowl 2018

Deep Learning-based Voice Conversion system

Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

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The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

aw_nas: A Modularized and Extensible NAS Framework

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Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

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SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

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Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)

[ECCV'18 Oral] PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction

3D Unet for Isointense Infant Brain Image Segmentation

🙄 Difficult algorithm, Simple code.

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

repo that holds code for improving on dropout using Stochastic Delta Rule

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

DLTK Model Zoo

The first public PyTorch implementation of Attentive Recurrent Comparators

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Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

Video embeddings for retrieval with natural language queries

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

Season 2 of @twosigma's artificial intelligence programming challenge

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

An Engine-Agnostic Deep Learning Framework in Java

This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Perform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.

pix2code: Generating Code from a Graphical User Interface Screenshot

PyTorch tutorial for learners

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

Deep Learning in Haskell

A curated list of awesome deep learning applications in the field of neurological image analysis

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

One million English sentences, each split into two sentences that together preserve the original meaning, extracted from Wikipedia edits.

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

PyTorch re-implementation of DeepMask

nGraph has moved to OpenVINO

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

(NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

코딩셰프의 3분 딥러닝, 케라스맛

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Deep neural networks for predicting CpG methylation

3D Graph Neural Networks for RGBD Semantic Segmentation

This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017

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