Alternatives and similar repositories for LaMP

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

• AnthonyMRios / multi-label-zero-shot
  Few- and Zero-shot Multi-Label Learning for Structured Label Spaces
  ☆49Updated 5 years ago
• cyber-meow / PUbiasedN
  PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.
  ☆19Updated 2 years ago
• jwzhanggy / graph_bert_work
  A list of latest research papers on graph-bert
  ☆47Updated 5 years ago
• cimeister / pu-learning
  Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning
  ☆91Updated last year
• bcol23 / HyperIM
  PyTorch implementation of the paper "Hyperbolic Interaction Model For Hierarchical Multi-Label Classification"
  ☆49Updated 6 years ago
• jwzhanggy / SEG-BERT
  Source code of "Segmented GRAPH-BERT Model"
  ☆24Updated 5 years ago
• ML-on-structures / graph-lstm
  LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods
  ☆79Updated 9 years ago
• thomlake / pytorch-attention
  pytorch neural network attention mechanism
  ☆148Updated 6 years ago
• XinyiZ001 / CapsGNN
  Tensorflow implementation of Capsule Graph Neural Network
  ☆74Updated 4 years ago
• vermaMachineLearning / Graph-Capsule-CNN-Networks
  Graph Capsule Convolutional Neural Networks
  ☆37Updated 6 years ago
• graph-star-team / graph_star
  Graph Star Net
  ☆110Updated 2 years ago
• LindgeW / TextLevelGNN
  A rough re-implement of Text Level Graph Neural Network for Text Classification
  ☆36Updated 5 years ago
• amirkhas / GraphMemoryNet
  Memory-Based Graph Networks
  ☆104Updated 3 years ago
• yangarbiter / multilabel-learn
  multilabel-learn: Multilabel-Classification Algorithms
  ☆36Updated 5 years ago
• vfdev-5 / UDA-pytorch
  Unsupervised Data Augmentation experiments in PyTorch
  ☆59Updated 6 years ago
• RMichaelSwan / MogrifierLSTM
  A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch
  ☆78Updated 5 years ago
• JunwenBai / MPVAE
  MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification
  ☆32Updated last year
• lonePatient / multi-sample_dropout_pytorch
  a simple pytorch implement of Multi-Sample Dropout
  ☆57Updated 6 years ago
• leimao / Two-Layer-Hierarchical-Softmax-PyTorch
  Two-Layer Hierarchical Softmax Implementation for PyTorch
  ☆70Updated 4 years ago
• timerstime / SDG4DA
  Selection Distribution Generator for Domain Adaptation
  ☆27Updated 6 years ago
• VITA-Group / Self-PU
  [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…
  ☆69Updated 3 years ago
• 10-zin / Synthesizer
  A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"
  ☆73Updated 3 years ago
• emalach / UpdateByDisagreement
  code for paper Decoupling "when to update" from "how to update" [https://arxiv.org/abs/1706.02613]
  ☆22Updated 8 years ago
• bowang-lab / Transformer-GCN-QA
  A multi-hop Q/A architecture based on transformers and GCNs.
  ☆16Updated 6 years ago
• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆91Updated 4 years ago
• Panda0406 / Zero-shot-knowledge-graph-relational-learning
  Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
  ☆48Updated 4 years ago
• takashiishida / flooding
  [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"
  ☆95Updated 3 years ago
• tanyuqian / learning-data-manipulation
  NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting
  ☆110Updated 5 years ago
• FreedomIntelligence / complex-order
  ☆84Updated 6 years ago
• soumya-ch / hyperbolic-label-emb-for-hmc
  Code for the paper Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification (EACL '21)
  ☆23Updated 4 years ago