Alternatives and similar repositories for research

Users that are interested in research are comparing it to the libraries listed below

• fhtanaka / directed_research_CS_2018
  This repository is for the subject "direct research in computer science B" from the university of Tsukuba
  ☆29Updated 5 years ago
• johaupt / GANbalanced
  ☆18Updated 5 years ago
• YeongHyeon / GANomaly-TF
  TensorFlow implementation of GANomaly (with MNIST dataset)
  ☆10Updated 4 years ago
• GH920 / improved-bagan-gp
  Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.
  ☆38Updated 3 years ago
• marvinbuss / ExplainableML-Vision
  This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision.…
  ☆30Updated 3 years ago
• justinengelmann / GANbasedOversampling
  ☆65Updated 2 years ago
• Pushkar-v / Generating-Synthetic-Data-using-GANs
  Generating Tabular Synthetic Data using State of the Art GAN architecture
  ☆80Updated 5 years ago
• EagerSun / DL-vs-Stat_Impute
  This is a thesis project about comparing imputation performances between deep learning methods and conventional statistical methods. In t…
  ☆16Updated 9 months ago
• bvshyam / ctgan_tabular_data
  Creating tabular GAN on credit card dataset
  ☆20Updated 5 years ago
• farhantandia / Tricks-for-Handling-Imbalanced-Dataset-Image-Classification
  Some trick for handling imbalanced dataset
  ☆19Updated 3 years ago
• carlr67 / deephitplus
  Code for the Paper "Automatic Feature Selection for Survival Analysis with Deep Learning"
  ☆16Updated 5 years ago
• sydney-machine-learning / GANclassimbalanced
  GANs for class imbalanced problems
  ☆28Updated 3 years ago
• dd1github / DeepSMOTE
  Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".
  ☆119Updated 3 years ago
• jsyoon0823 / GAIN
  Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018
  ☆397Updated 3 years ago
• mahfuzmohammad / HealthyGAN
  Official PyTorch implementation of HealthyGAN - SASHIMI 2022
  ☆10Updated 2 years ago
• liuyilin950623 / SHAP_on_Autoencoder
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆33Updated 5 years ago
• QingyuZhao / VAE-for-Regression
  A toy example of VAE-regression network
  ☆72Updated 5 years ago
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 2 years ago
• jianglindong93 / AUTOSurv
  ☆15Updated last year
• fuchami / ANOGAN
  anomaly detection using GAN
  ☆17Updated 2 years ago
• abhisheksambyal / Autoencoders-using-Pytorch-Medical-Imaging
  Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining
  ☆47Updated 6 years ago
• Swastik-25 / Imbalanced-Data-with-SMOTE-Techniques
  This repository contains implementation of some techniques like SMOTE, ADASYN, SMOTE + Tomek Links, SMOTE + ENN to overcome class imbalan…
  ☆45Updated 4 years ago
• sutd-visual-computing-group / dag-gans
  Data Augmentation optimized for GAN
  ☆56Updated 4 years ago
• ronniemi / explainAnomaliesUsingSHAP
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆41Updated 3 years ago
• rezacsedu / Multimodal-autoencoder-for-breast-cancer
  Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data
  ☆29Updated 5 years ago
• MGensheimer / nnet-survival
  Discrete-Time Survival Model for Neural Networks
  ☆92Updated last year
• a-agmon / anomaly_det
  ☆16Updated 3 years ago
• alok-ai-lab / pyDeepInsight
  A python implementation of the DeepInsight methodology.
  ☆170Updated last month
• naity / image_tabular
  Integrate image and tabular data for deep learning
  ☆88Updated 2 years ago
• BMIRDS / HistoGAN
  Code for "Generative Image Translation for Data Augmentation in Colorectal Histopathology Images" full paper at ML4H Workshop at NeurIPS …
  ☆73Updated 4 years ago