Alternatives and similar repositories for LaMP

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

• cyber-meow / PUbiasedN
  PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.
  ☆19Updated 2 years ago
• bcol23 / HyperIM
  PyTorch implementation of the paper "Hyperbolic Interaction Model For Hierarchical Multi-Label Classification"
  ☆49Updated 6 years ago
• AnthonyMRios / multi-label-zero-shot
  Few- and Zero-shot Multi-Label Learning for Structured Label Spaces
  ☆49Updated 5 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
• 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
• LindgeW / TextLevelGNN
  A rough re-implement of Text Level Graph Neural Network for Text Classification
  ☆36Updated 5 years ago
• XinyiZ001 / CapsGNN
  Tensorflow implementation of Capsule Graph Neural Network
  ☆74Updated 4 years ago
• graph-star-team / graph_star
  Graph Star Net
  ☆110Updated 2 years ago
• thomlake / pytorch-attention
  pytorch neural network attention mechanism
  ☆148Updated 6 years ago
• amirkhas / GraphMemoryNet
  Memory-Based Graph Networks
  ☆104Updated 3 years ago
• microsoft / UST
  Uncertainty-aware Self-training
  ☆122Updated 2 years ago
• declare-lab / kingdom
  Domain Adaptation using External Knowledge for Sentiment Analysis
  ☆53Updated 2 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
• vermaMachineLearning / Graph-Capsule-CNN-Networks
  Graph Capsule Convolutional Neural Networks
  ☆37Updated 6 years ago
• JunwenBai / MPVAE
  MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification
  ☆32Updated last year
• lukasruff / CVDD-PyTorch
  A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.
  ☆72Updated 3 years ago
• 10-zin / Synthesizer
  A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"
  ☆73Updated 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
• nlpAThits / hyfi
  Code for the paper "A Fully Hyperbolic Neural Model for Hierarchical Multi-class Classification"
  ☆17Updated 5 years ago
• scewiner / Leveraging
  Leveraging Local and Global Patterns for Self-Attention Networks
  ☆12Updated 6 years ago
• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆91Updated 5 years ago
• guillaumejaume / edGNN
  Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"
  ☆43Updated 2 years ago
• yangarbiter / multilabel-learn
  multilabel-learn: Multilabel-Classification Algorithms
  ☆36Updated 5 years ago
• dawenzi123 / DAGCN
  Dual Attention Graph Convolutional Network
  ☆90Updated 4 years ago
• alex-tifrea / poincare_glove
  Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper
  ☆88Updated 4 years ago
• icml2019paper2428 / Towards-A-Deep-and-Unified-Understanding-of-Deep-Neural-Models-in-NLP
  Code implementation of paper Towards A Deep and Unified Understanding of Deep Neural Models in NLP
  ☆73Updated 6 years ago