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

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

DeepSeg : 4th place(top3%) solution for Retinal Edema Segmentation Challenge in 2018 AI challenger

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Video Object Segmentation

Breast Cancer Classification using CNN and transfer learning

List of articles related to deep learning applied to music

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

Kaggle Data Science Bowl 2018

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Tools for PyTorch

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

nucleus/cell and histopathology image classification,detection,segmentation

C++ implementation pool for computer vision R&D projects.

任何 JS 环境可用的中文分词包，fork from leizongmin/node-segment

Deep Learning-based Voice Conversion system

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

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

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

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

Hand detection software built with OpenCV.

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

deep learning for image processing including classification and object-detection etc.

Flops counter for convolutional networks in pytorch framework

High-quality Neural Networks for Computer Vision 😎

Python version of Sudachi, a Japanese tokenizer.

Implementation of soft dynamic time warping in pytorch

TensorFlow implementation of "SoundNet".

A curated list of resources for Learning with Noisy Labels

Hiding Images within other images using Deep Learning

Implementation of the Sliced Wasserstein Autoencoders

A weekly workshop series at ITP to teach machine learning with a focus on deep learning

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

Attention-guided CNN for image denoising(Neural Networks,2020)

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

Tiny and elegant deep learning library

Pytorch implementation of pix2pix for various datasets.

DeepPose implementation on TensorFlow. Original Paper http://arxiv.org/abs/1312.4659

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Pytorch implementation for LapSRN (CVPR2017)

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

📢 Ready to learn or review your knowledge!

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

Gluon to PyTorch deep neural network model converter

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

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

VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo

No description or website provided.

Get started with Semantic Segmentation based on Keras, including FCN32/FCN8/SegNet/U-Net

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Implementation of MaskTrack method which is the baseline of several state-of-the-art video object segmentation methods in Pytorch