euzmin

euzmin's Stars

• zijundeng/pytorch-semantic-segmentation

  PyTorch for Semantic Segmentation

  Language:Python1.7k393

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.5k4.5k

• mrgloom/awesome-semantic-segmentation

  :metal: awesome-semantic-segmentation

  10.5k2.5k

• WZMIAOMIAO/deep-learning-for-image-processing

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

  Language:Python23k8k

• NVlabs/ssn_superpixels

  Superpixel Sampling Networks (ECCV2018)

  Language:Python34756

• perrying/ssn-pytorch

  PyTorch implementation of Superpixel Sampling Networks

  Language:Python12222

• yjh0410/yolov2-yolov3_PyTorch

  Language:Python22553

• CYang0515/pytorch_ssn

  A pytorch version of SSN

  Language:Python424

• weiaicunzai/Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks

  experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

  Language:Python714123

• anguyen8/XAI-papers

  56579

• Fangyh09/pytorch-receptive-field

  Compute CNN receptive field size in pytorch in one line

  Language:Python34957

• rakhimovv/tcav

  Quantitative Testing with Concept Activation Vectors in PyTorch

  Language:Python4114

• oneTaken/awesome_deep_learning_interpretability

  深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

  736122

• milesial/Pytorch-UNet

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

  Language:Python9.2k2.5k

• cfchen-duke/ProtoPNet

  This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).

  Language:Python339126

• KunKuang/Differentiated-Confounder-Balancing

  The source code of our DCB algorithm in KDD17 paper: Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing

  Language:Matlab10

• clinicalml/cfrnet

  Counterfactual Regression

  Language:Python29582

• cs109/content

  Official content for Harvard CS109

  Language:Jupyter Notebook1.8k1.6k

• L1aoXingyu/code-of-learn-deep-learning-with-pytorch

  This is code of book "Learn Deep Learning with PyTorch"

  Language:Jupyter Notebook2.8k1.2k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16.2k6.9k

• HXACA/Machine-Learning-in-Action

  《机器学习实战》代码及数据集

  Language:Python54

• AceCoooool/ML-Andrew-Ng

  Coursera Machine Learning (Andrew Ng) --- python code

  Language:Python12667

• lib-pku/libpku

  贵校课程资料民间整理

  Language:TeX30.4k8.3k

• TingNie/Coursera-ML-using-matlab-python

  coursera吴恩达机器学习课程作业自写Python版本+Matlab原版

  Language:Jupyter Notebook886360

• sebastianruder/NLP-progress

  Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

  Language:Python22.7k3.6k

• cckevincyh/ChatRoom

  局域网聊天系统

  Language:Java5615

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  177k51.1k

• codingXiaxw/ssm

  :on: a simple example introducing SSM's basic development knowledge with detailed manual

  Language:Java909441