Alternatives and similar repositories for direct-ranker

Users that are interested in direct-ranker are comparing it to the libraries listed below

• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 5 years ago
• mwydmuch / napkinXC
  Extremely simple and fast extreme multi-class and multi-label classifiers.
  ☆70Updated 5 months ago
• stanis-morozov / prodige
  A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.
  ☆47Updated 5 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
• sarahwie / attention
  Code for EMNLP 2019 paper "Attention is not not Explanation"
  ☆58Updated 4 years ago
• cambridgeltl / parameter-factorization
  Factorization of the neural parameter space for zero-shot multi-lingual and multi-task transfer
  ☆39Updated 4 years ago
• berkeley-reclab / RecLab
  ☆67Updated 2 years ago
• dsv77 / hashembedding
  Hash Embedding code for the paper "Hash Embeddings for Efficient Word Representations"
  ☆42Updated 7 years ago
• ermongroup / pirank
  PiRank: Learning to Rank via Differentiable Sorting
  ☆61Updated 2 years ago
• rjagerman / pytorchltr
  Learning to Rank in PyTorch
  ☆90Updated last year
• cgraywang / transformer-on-diet
  Code repo for "Transformer on a Diet" paper
  ☆31Updated 5 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆35Updated 2 years ago
• benathi / density-order-emb
  Density Order Embeddings
  ☆33Updated 6 years ago
• gcunhase / StackedDeBERT
  Stacked Denoising BERT for Noisy Text Classification (Neural Networks 2020)
  ☆32Updated 2 years ago
• PrincetonML / SemanticVector
  Word embedding approach based on a dynamic log-linear model
  ☆54Updated 8 years ago
• Extreme-classification / DECAF
  DECAF: Deep Extreme Classification with Label Features
  ☆54Updated 3 years ago
• skesiraju / BaySMM
  Model for learning document embeddings along with their uncertainties
  ☆36Updated last year
• irecsys / Tutorial_MSRS
  Tutorial for Multi-Stakeholder Recommender Systems
  ☆22Updated 4 years ago
• harsh19 / SPINE
  Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*, Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 20…
  ☆52Updated 5 years ago
• nplan-io / kdd2020-calibration
  How to calibrate your neural network classifier: Getting accurate probabilities from a classification model
  ☆53Updated 4 years ago
• senwu / emmental
  A deep learning framework for building multimodal multi-task learning systems.
  ☆111Updated 2 years ago
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 5 years ago
• rtmdrr / replicability-analysis-NLP
  ☆15Updated 4 years ago
• ppontisso / Extreme-Multi-Label-Classification
  Introduction Notebook to Extreme Multi-Label Classification problem (XML)
  ☆22Updated 7 years ago
• seraphlabs-ca / SentenceMIM-demo
  This repo contains code to reproduce some of the results presented in the paper "SentenceMIM: A Latent Variable Language Model"
  ☆28Updated 3 years ago
• Extreme-classification / ECLARE
  ECLARE: Extreme Classification with Label Graph Correlations
  ☆42Updated 3 years ago
• iesl / xcluster
  Algorithms and evaluation tools for extreme clustering
  ☆73Updated 6 years ago
• marcotcr / sears
  Code for "Semantically Equivalent Adversarial Rules for Debugging NLP Models"
  ☆87Updated 6 years ago
• helmertz / querysum
  ☆14Updated 8 years ago
• text-machine-lab / adversarial_decomposition
  The code for the paper "Adversarial Decomposition of Text Representation", NAACL 2019
  ☆29Updated 2 years ago