qqgg12

qqgg12's Stars

• 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

• RohenWong/DeepLearning-augmentation-on-MRI

  This project uses Variational Autoencoders (VAEs) to perform data augmentation on breast cancer MRI from the ISPY-2 clinical trial. We evaluate the augmentation by training U-Net segmentation models.

  Language:Jupyter Notebook42

• sajadn/Exemplar-VAE

  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation

  Language:Python698

• GYee/CV_interviews_Q-A

  CV算法岗知识点及面试问答汇总，主要分为计算机视觉、机器学习、图像处理和 C++基础四大块，一起努力向offers发起冲击！

  1.6k268

• ithuangqing/java

  收集有助于java学习者提高技术和认知的资源（文章，教程，网站等），java学习者必备！:books:

  12462

• miloyip/json-tutorial

  从零开始的 JSON 库教程

  Language:C7.7k4.3k

• SANCHES-Pedro/adni_preprocessing

  ADNI t1-weighted MRI preprocessing

  Language:Python201

• sayannath/ViT-Image-Classification

  Image Classification with Vision Transformer - Keras

  Language:Jupyter Notebook121

• Aglinskas/pub-CVAE-MRI-ASD

  Code and materials for paper "Contrastive machine learning reveals the structure of neuroanatomical variation within Autism"

  Language:Jupyter Notebook1610

• zjchen77/Contrastve-VAE

  Contrastive-VAE is a model that combine the traditional Variational Auto-Encoder and contrastive learning techniques.

  Language:Python3

• abidlabs/contrastive_vae

  Contrastive Variational Autoencoders

  Language:Jupyter Notebook618

• westman-neuroimaging-group/brainage-prediction-mri

  Predicting the age of the brain with minimally processed T1-weighted MRI data

  Language:Python81

• hnguyentt/cnn-visualization-keras-tf2

  Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream

  Language:Jupyter Notebook275

• samson6460/tf_keras_gradcamplusplus

  tensorflow.keras implementation of gradcam and gradcam++

  Language:Python417

• jcsyl/news-analyst

  对舆情事件进行词云展示，对评论进行情感分析和观点抽取。情感分析基于lstm 的三分类，观点抽取基于AP 算法的聚类和MMR的抽取

  Language:Python17840

• lixiang0/WEB_KG

  爬取百度百科中文页面，抽取三元组信息，构建中文知识图谱

  Language:Python941189

• shangranq/PGGAN_3D_Brain

  generate 3D brain MRI using Progressive Growing GAN

  Language:Python71

• HPI-DeepLearning/voxelGAN

  3D Medical Image Semantic Segmentation

  Language:Python136

• manicman1999/StyleGAN2-Tensorflow-2.0

  StyleGAN 2 in Tensorflow 2.0

  Language:Python486112

• snowkylin/tensorflow-handbook

  简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程

  Language:Jupyter Notebook3.9k841

• 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:JavaScript54.9k15.9k