Alternatives and similar repositories for Dimensionality-Reduction-with-Autoencoder

Users that are interested in Dimensionality-Reduction-with-Autoencoder are comparing it to the libraries listed below

• titu1994 / LSTM-FCN-Ablation
  Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"
  ☆54Updated 6 years ago
• Legendnic / GA-CNN
  In this project, I will demonstrate how to combine Genetic Algorithm with Convolutional Neural Network
  ☆42Updated 6 years ago
• Hsankesara / Prototypical-Networks
  A novel method for few shot learning
  ☆52Updated 5 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆39Updated 6 years ago
• divamgupta / ladder_network_keras
  Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !
  ☆100Updated 4 years ago
• Tony607 / Focal_Loss_Keras
  Multi-class classification with focal loss for imbalanced datasets
  ☆82Updated 5 years ago
• XifengGuo / DEC-DA
  Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
  ☆55Updated 6 years ago
• rgmyr / keras-texture
  tf.keras implementations of deep texture recognition & fine-grained image classification models
  ☆29Updated 5 years ago
• greentfrapp / doping
  Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
  ☆15Updated 6 years ago
• ntienvu / abnormal_detection_video_surveillance
  Source code for abnormal detection on MIT video surveillance dataset using Nonnegative Matrix Factorization
  ☆11Updated 5 years ago
• titu1994 / keras-global-context-networks
  Keras implementation of Global Context Attention blocks
  ☆46Updated 6 years ago
• Jopepato / multilabelMetrics
  Metrics for measuring our multilabel model
  ☆29Updated 6 years ago
• zhuxinqimac / B-CNN
  Sample code of B-CNN paper (https://arxiv.org/abs/1709.09890) written in Python3+.
  ☆55Updated 3 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 7 years ago
• snatch59 / keras-autoencoders
  Autoencoders in Keras
  ☆126Updated 7 years ago
• mehrdadfazli / HHAR-Net
  Applying a hierarchical Deep Learning to sensor stream data collected from smartphones and smartwatches to recognize the activity of user…
  ☆33Updated 4 years ago
• Puayny / Autoencoder-image-similarity
  ☆14Updated 7 years ago
• jgoodman8 / py-image-features-extractor
  Image feature selection performed by using white and black box algorithms
  ☆25Updated 3 years ago
• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆61Updated 7 years ago
• alimirzaei / adverserial-autoencoder-keras
  Keras Implementation of adverserial autoencoder (AAE)
  ☆56Updated 6 years ago
• raghavchalapathy / Deep-Learning-for-Anomaly-Detection-A-Survey
  This paper is continuously updated with deep anomaly detection methods and their applications
  ☆104Updated 6 years ago
• zidik / Self-labeled-techniques-for-semi-supervised-learning
  ☆23Updated 7 years ago
• rusty1s / graph-based-image-classification
  Implementation of Planar Graph Convolutional Networks in TensorFlow
  ☆43Updated 8 years ago
• jwmueller / KDD20-tutorial
  Tutorial on Automated Machine Learning at KDD 2020
  ☆55Updated 4 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 5 years ago
• nesl / Robust-Deep-Learning-Pipeline
  Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …
  ☆23Updated 4 years ago
• zhangyaqi1989 / Ensemble-Methods-for-Image-Classification
  In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…
  ☆97Updated 6 years ago
• nlml / tsne_raw
  Implementation of Symmetric SNE and t-SNE in numpy and python
  ☆76Updated 3 years ago
• winstonll / COPOD
  Supplementary material for ICDM 20 paper "COPOD: Copula-Based Outlier Detection"
  ☆60Updated 4 years ago
• buiduchanh / Learning-Deep-Features-for-One-Class-Classification
  #Deep One class #Anomaly Detection
  ☆49Updated 6 years ago