AutuanLiu / MDeepLearn

Related projects ⓘ

Alternatives and complementary repositories for MDeepLearn

• chuckyee / dilated-densenet
  Dilated DenseNets
  ☆15Updated 6 years ago
• RGLab / scamp
  Implementation of Selective Clustering Annotated using Modes of Projections
  ☆10Updated 4 years ago
• svella9 / Semi-Supervised-Learning-To-Improve-Lung-Cancer-Detection
  Boost lung Cancer Detection using Generative model and Semi-Supervised Learning
  ☆9Updated 6 years ago
• ivanpanshin / hist_cancer
  Histopathologic Cancer Detection model based on Kaggle Challenge https://www.kaggle.com/c/histopathologic-cancer-detection (top 1%)
  ☆11Updated 3 years ago
• blengerich / explainable-cnn
  Towards Visual Explanations for Convolutional Neural Networks via Input Resampling
  ☆14Updated 7 years ago
• titu1994 / Python-Work
  Python scripts to facilitate easy working
  ☆11Updated 4 months ago
• junteudjio / dicom_data_pipeline
  A production quality data pipeline for DICOM images segmentation.
  ☆12Updated 6 years ago
• Prasanna1991 / MMD_VAE
  This repo contains the code for our AAAI-Workshop paper "Learning disentangled representations from 12-lead electrograms: application in …
  ☆11Updated 5 years ago
• AFAgarap / dl-relu
  Deep Learning using Rectified Linear Units (ReLU)
  ☆22Updated 3 months ago
• arnupretorius / lindaedynamics_icml2018
  Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)
  ☆12Updated 6 years ago
• luuuyi / ShuffleNetV2_vs_MnasNet.PyTorch
  Contrast between ShuffleNet V2 and MnasNet.(Non-official implement In PyTorch)
  ☆12Updated 6 years ago
• mitkovetta / nfbia15-deep-learning
  NFBIA Summer School 2015 Deep Learning in Medical Image Analysis
  ☆10Updated 9 years ago
• fraenkel-lab / GSLR
  An algorithm for classification from a graph-sparse support
  ☆15Updated 5 years ago
• berenslab / finer-tsne
  Code for the paper on t-SNE with variable degree of freedom
  ☆12Updated 5 years ago
• rachellea / sarle-labeler
  Automatic extraction of structured labels from radiology reports. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality …
  ☆10Updated 2 years ago
• williamSYSU / CatGAN
  Codes for Category-aware Generative Adversarial Networks (AAAI 2020)
  ☆18Updated 4 years ago
• asanakoy / cliquecnn
  Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792
  ☆23Updated 7 years ago
• sacmehta / WSISegmentation
  Segmenting WSIs using Deep Convolutional Neural Networks
  ☆18Updated 6 years ago
• KellerJordan / TriMap-PyTorch
  Implementation of TriMap dimensionality reduction in PyTorch
  ☆16Updated 6 years ago
• deepiano / Camelyon17
  ☆14Updated 7 years ago
• PetarV- / X-CNN
  Cross-modal convolutional neural networks
  ☆11Updated 7 years ago
• AMDonati / parkinson-disease-project
  Portfolio Project for DSR: Modelling Parkinson Disease Progression
  ☆26Updated 6 years ago
• madlymissyou / deep-learning-for-neuroimage
  ☆11Updated 8 years ago
• Insiyaa / Retinal-Vessel-Segmentation
  Experimenting different models for retinal vessel segmentation on DRIVE dataset.
  ☆9Updated 6 years ago
• yuibi / wgan_ai_logo
  Generation of AI logos using Wasserstein GAN. PyTorch, fastai.
  ☆9Updated 5 years ago
• asvcode / 1_cycle
  A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith
  ☆11Updated 6 years ago
• pedroherrerovidal / Semi-supervised_Learning_DL
  Semi-supervised strategies based on Deep Learning to extract structure from images and improve supervised classification tasks.
  ☆10Updated 4 years ago
• WarBean / jdconfig
  Extended Python dict for flexible hyperparameter configuration in Deep Learning
  ☆12Updated 6 years ago