Alternatives and similar repositories for cgraph

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

• zachwooddoughty / emnlp2018-causal
  Code for "Challenges of Using Text Classifiers for Causal Inference," at EMNLP '18
  ☆24Updated 5 years ago
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 5 years ago
• ceshwar / reddit-norm-violations
  Hybrid Approaches to Detect Comments Violating Macro Norms on Reddit
  ☆28Updated 6 years ago
• awasthiabhijeet / Learning-From-Rules
  Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…
  ☆50Updated 2 years ago
• tanfiona / CauseEffectDetection
  Our paper is titled "NUS-IDS at FinCausal 2021: Dependency Tree in Graph Neural Networks for better Cause-Effect Span Detection".
  ☆13Updated 3 years ago
• yseop / YseopLab
  ☆20Updated last year
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 4 years ago
• lightlightdyy / Deep-Learning-and-Causal-Inference
  ☆30Updated 6 years ago
• amirfeder / CausaLM
  CausaLM: Causal Model Explanation Through Counterfactual Language Models
  ☆56Updated 5 years ago
• salesforce / NeuralBayes
  ☆24Updated 6 months ago
• sarahwie / attention
  Code for EMNLP 2019 paper "Attention is not not Explanation"
  ☆58Updated 4 years ago
• vlukiyanov / pt-avitm
  PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)
  ☆35Updated 3 years ago
• MurtyShikhar / ExpBERT
  Code for our ACL '20 paper "Representation Engineering with Natural Language Explanations"
  ☆29Updated 5 years ago
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 5 years ago
• DFKI-NLP / lrv
  Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
  ☆12Updated 4 years ago
• bastings / interpretable_predictions
  Interpretable Neural Predictions with Differentiable Binary Variables
  ☆85Updated 4 years ago
• coastalcph / Sequence_classification_with_human_attention
  ☆48Updated 7 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆35Updated 2 years ago
• nttcslab-nlp / doc_lm
  ☆12Updated 6 years ago
• YujiaBao / R2A
  "Deriving Machine Attention from Human Rationales" EMNLP 2018
  ☆27Updated 6 years ago
• yongqyu / hcan-pytorch
  hierarchical convolutional attention networks for text classification
  ☆16Updated 6 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 4 years ago
• panaali / word2ket
  Word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement
  ☆52Updated 5 years ago
• Lorraine333 / box_embeddings
  Experiments of ACL 2018 paper box embeddings
  ☆31Updated 6 years ago
• ChengyueGongR / advsoft
  Language Model Baselines for PyTorch
  ☆41Updated 5 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆28Updated 4 years ago
• ruqizhang / banditnet-pytorch
  A Pytorch implementation of "Deep Learning with Logged Bandit Feedback"
  ☆10Updated 7 years ago
• david-yoon / detecting-incongruity
  TensorFlow implementation of "Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder," AAAI-19
  ☆38Updated last year
• prakharguptaz / multirefeval
  Code and Data for the paper Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References SIGdial 201…
  ☆28Updated 5 years ago
• peterbhase / InterpretableNLP-ACL2020
  Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"
  ☆45Updated last year