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Branch: master
Commits on Feb 6, 2019
  1. Tidy up some code (#174)

    daemon committed Feb 6, 2019
Commits on Nov 13, 2018
Commits on Jul 11, 2018
  1. Add Apache 2.0 license (#132)

    daemon authored and lintool committed Jul 11, 2018
Commits on Jun 24, 2018
  1. Use PackedSequence for ConvRNN (#126)

    daemon committed Jun 24, 2018
    * Use PackedSequence in ConvRNNs instead
    - Zero-padding is incompatible with the current model
    
    * Update test script
    
    * Clean up comments and logic
    
    * Add TQDM to requirements
    
    * Add results using default hyperparameters
Commits on Jun 8, 2018
Commits on May 25, 2018
  1. Add README (#110)

    daemon authored and tuzhucheng committed May 25, 2018
    * Make *QA/MSRVID work with VDPWI
    
    * Add README
Commits on May 24, 2018
Commits on May 23, 2018
Commits on Feb 7, 2018
Commits on Feb 5, 2018
  1. Add tensorboard visualization

    daemon committed Feb 5, 2018
  2. Fix norm gradient explosion

    daemon committed Feb 5, 2018
  3. Workaround PT padding_idx bug

    daemon committed Feb 5, 2018
  4. Add training code

    daemon committed Feb 5, 2018
Commits on Feb 4, 2018
  1. Add VDPWI core models

    daemon committed Feb 4, 2018
  2. Fix sigma bug

    daemon committed Feb 4, 2018
  3. Add preprocessing scripts

    daemon committed Feb 4, 2018
Commits on Feb 3, 2018
  1. Initial commit

    daemon committed Feb 3, 2018
Commits on Oct 29, 2017
  1. Tweak conv-rnn model (#75)

    daemon authored and tuzhucheng committed Oct 29, 2017
    * Tweak conv-rnn model
    
    - Fix misplaced zero_grad()
    - Tweak model hyperparams and optimization algorithm
    
    * Fix typo
    
    * Add new results
    
    * Clean up extraneous code
Commits on Oct 5, 2017
  1. Add convolutional RNN for sentence classification (#57)

    daemon authored and tuzhucheng committed Oct 5, 2017
    * Add SST data preprocessing
    
    * Add ConvRNN model
    
    * Add LR scheduler
    
    * Add grid search on hyperparameters
    
    * Add random search
    
    * Add CLI options
    
    * Add usage to README.md
    
    * Refactor code
    
    * Fix randomized search parameters
    
    * Update README.md with results
    
    * Use Dataset and DataLoader
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