yftg

yftg's Stars

• CopyTranslator/CopyTranslator

  Foreign language reading and translation assistant based on copy and translate.

  Language:TypeScript17.2k1.9k

• extreme-assistant/CVPR2024-Paper-Code-Interpretation

  cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

  12.4k2.3k

• yqx7150/EDAEPRec

  Enhanced Denoising Auto-Encoding Priors for Reconstruction

  Language:MATLAB111

• lllyasviel/style2paints

  sketch + style = paints :art: (TOG2018/SIGGRAPH2018ASIA)

  Language:JavaScript18k2.1k

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.8k15.9k

• hkaggarwal/modl

  MoDL: Model-Based Deep Learning Architecture for Inverse Problems

  Language:Python17053

• googlehosts/hosts

  镜像：https://scaffrey.coding.net/p/hosts/git / https://git.qvq.network/googlehosts/hosts

  20.8k10.2k

• js3611/Deep-MRI-Reconstruction

  Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

  Language:Python322104

• taki0112/Densenet-Tensorflow

  Simple Tensorflow implementation of Densenet using Cifar10, MNIST

  Language:Python506196

• Sarasra/models

  Models and examples built with TensorFlow

  Language:Python2.9k1.2k

• CQFIO/FastImageProcessing

  Fast Image Processing with Fully-Convolutional Networks

  Language:Python29169

• XifengGuo/CapsNet-Keras

  A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

  Language:Python2.5k651

• naturomics/CapsNet-Tensorflow

  A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

  Language:Python3.8k1.2k

• fvisin/dataset_loaders

  A collection of dataset loaders

  Language:Python19763

• faustomilletari/3D-Caffe

  Language:C++6636

• faustomilletari/VNet

  Language:Python286122

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++186k74.3k

• martinarjovsky/WassersteinGAN

  Language:Python3.2k725

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14.1k2.3k

• RedditSota/state-of-the-art-result-for-machine-learning-problems

  This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

  8.9k1.3k

• mattmacy/vnet.pytorch

  A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

  Language:Python694201

• hujie-frank/SENet

  Squeeze-and-Excitation Networks

  Language:Cuda3.4k839

• kuza55/keras-extras

  Extra batteries for Keras

  Language:Python25765

• IBBM/Cascaded-FCN

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

  Language:Jupyter Notebook304127

• johannesu/meanfield-matlab

  MATLAB wrapper for Efficient Inference in Fully Connected CRF

  Language:C++7341

• lucasb-eyer/pydensecrf

  Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

  Language:C++2k417

• SimpleITK/SimpleITK

  SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.

  Language:SWIG905205

• SimpleITK/SimpleITKPythonPackage

  A setup script to generate a Python Wheels

  Language:CMake1711

• titu1994/DenseNet

  DenseNet implementation in Keras

  Language:Python707294

• SimJeg/FC-DenseNet

  Fully Convolutional DenseNets for semantic segmentation.

  Language:Python486143