Alternatives and similar repositories for cgraph:

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

• tanfiona / CauseEffectDetection
  Our paper is titled "NUS-IDS at FinCausal 2021: Dependency Tree in Graph Neural Networks for better Cause-Effect Span Detection".
  ☆13Updated 2 years ago
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 4 years ago
• yseop / YseopLab
  ☆19Updated 5 months ago
• peterbhase / ExplanationRoles
  Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"
  ☆14Updated 3 years ago
• MiuLab / GenDef
  Probing task; contextual embeddings -> textual definitions (EMNLP19)
  ☆11Updated 3 years ago
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 4 years ago
• amirfeder / CausaLM
  CausaLM: Causal Model Explanation Through Counterfactual Language Models
  ☆55Updated 4 years ago
• awasthiabhijeet / Learning-From-Rules
  Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…
  ☆48Updated last year
• MurtyShikhar / ExpBERT
  Code for our ACL '20 paper "Representation Engineering with Natural Language Explanations"
  ☆29Updated 4 years ago
• aistairc / Numeracy-600K
  ☆12Updated 4 years ago
• anirbanl / sparsegen
  Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"
  ☆22Updated 5 years ago
• UKPLab / tacl2018-preference-convincing
  Experimental code for the paper 'Finding Convincing Arguments Using Scalable Bayesian Preference Learning'
  ☆12Updated 2 years ago
• zachwooddoughty / emnlp2018-causal
  Code for "Challenges of Using Text Classifiers for Causal Inference," at EMNLP '18
  ☆24Updated 4 years ago
• akashkm99 / Interpretable-Attention
  Official Code for Towards Transparent and Explainable Attention Models paper (ACL 2020)
  ☆35Updated 2 years ago
• ruiqi-zhong / Meta-tuning
  EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
  ☆50Updated 3 years ago
• UKPLab / refresh2018-predicting-trends-from-arxiv
  ☆26Updated 5 years ago
• tapilab / emnlp-2020-spurious
  ☆17Updated 3 years ago
• carolinlawrence / gradient-rollback
  Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…
  ☆21Updated 3 years ago
• s4zong / measuring_forecasting_skill_from_text
  Code and data for "Measuring Forecasting Skill from Text".
  ☆11Updated 4 years ago
• Lorraine333 / box_embeddings
  Experiments of ACL 2018 paper box embeddings
  ☆32Updated 6 years ago
• yueyu1030 / STEAM
  [KDD 2020] This is the code repository for our KDD'20 paper STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths.
  ☆17Updated 4 years ago
• zhaoxy92 / GLaRA
  GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition
  ☆31Updated 2 years ago
• JamesHujy / ELV
  ☆20Updated 3 years ago
• ChengyueGongR / advsoft
  Language Model Baselines for PyTorch
  ☆42Updated 4 years ago
• midas-research / hyperbolic-tlstm-sigir
  ☆15Updated 3 years ago
• ahoho / SentiVAE
  ☆16Updated 5 years ago
• hongyuanmei / tpp-short-course
  A short course on temporal point process and modeling irregular time series
  ☆21Updated 4 years ago
• prakharguptaz / multirefeval
  Code and Data for the paper Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References SIGdial 201…
  ☆28Updated 4 years ago
• alontalmor / LeapOfThought
  ☆48Updated last year
• HazyResearch / random_embedding
  ☆15Updated 2 years ago