BoulderDS / feature-importance

Related projects ⓘ

Alternatives and complementary repositories for feature-importance

• Noahs-ARK / idea_relations
  A framework to identify relations between ideas in temporal text corpora.
  ☆29Updated 6 years ago
• ahoho / SentiVAE
  ☆16Updated 5 years ago
• abenton / deep-dmr
  Implementation of Deep Dirichlet Multinomial Regression in python + cython.
  ☆16Updated 6 years ago
• mariru / structured_embeddings
  ☆53Updated 6 years ago
• jhlau / topic-coherence-sensitivity
  Code to compute topic coherence for several topic cardinalities and aggregate scores across them
  ☆22Updated last year
• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 7 years ago
• brochier / idne
  Python package for the paper "Inductive Document Network Embedding with Topic-Word Attention" (https://arxiv.org/pdf/2001.03369.pdf)
  ☆17Updated last year
• byu-aml-lab / ankura
  Anchor-based topic modeling
  ☆10Updated 4 years ago
• ajaech / calm
  Context Aware Language Models
  ☆28Updated 6 years ago
• lateral / poincare-embeddings
  A multi-threaded C++ implementation of Nickel & Kiela's "Poincare Embeddings" paper from NIPS 2017, following the implementation of the a…
  ☆17Updated 6 years ago
• vlukiyanov / pt-avitm
  PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)
  ☆36Updated 2 years ago
• abrazinskas / BSG
  Bayesian Skip-gram model
  ☆47Updated 4 years ago
• nlitutorial / nlitutorial.github.io
  2019 NAACL NLI with Deep Learning tutorial site.
  ☆31Updated 5 years ago
• sronnqvist / doc2topic
  Neural topic modeling
  ☆29Updated 4 years ago
• cambridgeltl / adversarial-postspec
  Auxiliary GAN for WE post-specialisation
  ☆23Updated 5 years ago
• forest-snow / anchor-topic
  This package supports implementation of anchor-based topic modeling and variants of the anchoring algorithm in Python 3.
  ☆16Updated 6 years ago
• apmoore1 / fiesta
  Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
  ☆14Updated 2 years ago
• jeknov / EMNLP_17_submission
  The dataset and statistical analysis code released with the submission of EMNLP 2017 paper "Why We Need New Evaluation Metrics for NLG"
  ☆19Updated 3 years ago
• benathi / density-order-emb
  Density Order Embeddings
  ☆33Updated 5 years ago
• NLPrinceton / ALaCarte
  ☆104Updated 6 years ago
• lateral / minkowski
  Skip-gram word embeddings in hyperbolic space
  ☆34Updated 6 years ago
• dallascard / DWAC
  Deep Weighted Averaging Classifiers
  ☆23Updated 5 years ago
• adamlauretig / bwe
  Implements the model described in "Identification, Interpretability, and Bayesian Word Embeddings"
  ☆18Updated 5 years ago
• peterbhase / InterpretableNLP-ACL2020
  Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"
  ☆44Updated 10 months ago
• mega002 / annotator_bias
  The accompanying code for "Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understandin…
  ☆21Updated 5 years ago
• Tixierae / EMNLP2017_NewSum
  Code for the paper: Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization
  ☆17Updated 4 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 5 months ago
• ddemszky / framing-twitter
  Code for the paper "Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings"
  ☆66Updated 2 years ago