Alternatives and similar repositories for multilabelMetrics

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

• vuptran / sesemi
  supervised and semi-supervised image classification with self-supervision (Keras)
  ☆45Updated 4 years ago
• graykode / DAC
  Deep Adaptive Image Clustering Paper Implementation
  ☆31Updated 6 years ago
• ywatanabe1989 / custom_losses_pytorch
  Custom loss functions to use in (mainly) PyTorch.
  ☆39Updated 5 years ago
• ahmdtaha / softmax_triplet_loss
  (WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer
  ☆23Updated 4 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 7 years ago
• anirudhshenoy / pseudo_labeling_small_datasets
  Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…
  ☆74Updated 5 years ago
• XifengGuo / DEC-DA
  Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
  ☆57Updated 6 years ago
• waynezhanghk / gacluster
  Graph Agglomerative Clustering Library
  ☆23Updated 6 years ago
• takeshi-teshima / few-shot-domain-adaptation-by-causal-mechanism-transfer
  Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)
  ☆44Updated 2 years ago
• jiajiatang0000 / HPFN
  Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling
  ☆26Updated 5 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆39Updated last week
• divamgupta / deep-clustering-kingdra
  Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning
  ☆48Updated 4 years ago
• alimirzaei / adverserial-autoencoder-keras
  Keras Implementation of adverserial autoencoder (AAE)
  ☆55Updated 6 years ago
• zeakey / LDLForests
  Label Distribution Learning Forest
  ☆30Updated 8 years ago
• 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
• hosseinshn / Basic-Multi-task-Learning
  This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
  ☆137Updated 7 years ago
• Mayurji / Pytorch-Lightning-Face-Recognition
  The Objective is to implement Siamese Network for Face Recognition using Pytorch Lightning.
  ☆19Updated 4 years ago
• EricArazo / PseudoLabeling
  Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"
  ☆155Updated 5 years ago
• DenisDsh / PyTorch-Deep-CORAL
  This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for…
  ☆56Updated 6 years ago
• natashamjaques / MultimodalAutoencoder
  Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Pr…
  ☆70Updated 6 years ago
• michaal94 / Semisupervised-Clustering
  PyTorch semi-supervised clustering with Convolutional Autoencoders
  ☆24Updated 6 years ago
• ardamavi / Unsupervised-Classification-with-Autoencoder
  Using Autoencoders for classification as unsupervised machine learning algorithms with Deep Learning.
  ☆47Updated 7 years ago
• MaziarMF / deep-k-means
  ☆97Updated 6 years ago
• rymc / n2d
  A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …
  ☆138Updated last year
• blueocean92 / deep_constrained_clustering
  ☆40Updated 2 years ago
• shruti-jadon / Hands-on-One-Shot-Learning
  This repository is for coding exercises listed in Book Hands on One Shot Learning.
  ☆112Updated 2 years ago
• kevinlyu / Wasserstein-Adversarial-Domain-Adaptation
  Wasserstein Based Domain Adaptation Model
  ☆46Updated 6 years ago
• ncampost / vis-autoencoder-tsne
  Autoencoder and t-SNE dim-reduction to visualize the MNIST dataset (and others)
  ☆17Updated 7 years ago
• dizam92 / pyTorchReg
  Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.
  ☆38Updated 3 years ago
• sharonFogel / CPAC
  Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"
  ☆27Updated 7 years ago