Alternatives and similar repositories for comp790-deep-learning-spring-2021

Users that are interested in comp790-deep-learning-spring-2021 are comparing it to the libraries listed below

• suinleelab / path_explain
  A repository for explaining feature attributions and feature interactions in deep neural networks.
  ☆192Updated 3 years ago
• epfml / collaborative-attention
  Code for Multi-Head Attention: Collaborate Instead of Concatenate
  ☆153Updated 2 years ago
• TimDettmers / transformer-xl
  ☆65Updated 5 years ago
• RobertCsordas / transformer_generalization
  The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…
  ☆67Updated 3 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆63Updated 5 years ago
• peterbhase / InterpretableNLP-ACL2020
  Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"
  ☆45Updated last year
• ethanjperez / rda
  Code for "Rissanen Data Analysis: Examining Dataset Characteristics via Description Length" by Ethan Perez, Douwe Kiela, and Kyungyhun Ch…
  ☆36Updated 4 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆35Updated 2 years ago
• alex-tifrea / poincare_glove
  Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper
  ☆88Updated 4 years ago
• i-machine-think / diagNNose
  diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.
  ☆82Updated 2 years ago
• serrano-s / attn-tests
  Checking the interpretability of attention on text classification models
  ☆49Updated 6 years ago
• cambridgeltl / parameter-factorization
  Factorization of the neural parameter space for zero-shot multi-lingual and multi-task transfer
  ☆39Updated 5 years ago
• ChengyueGongR / advsoft
  Language Model Baselines for PyTorch
  ☆41Updated 5 years ago
• nng555 / ssmba
  ☆62Updated 3 years ago
• harvardnlp / hmm-lm
  ☆40Updated 4 years ago
• camelop / NLP-Robustness
  OOD Generalization and Detection (ACL 2020)
  ☆60Updated 5 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 4 years ago
• akashkm99 / Interpretable-Attention
  Official Code for Towards Transparent and Explainable Attention Models paper (ACL 2020)
  ☆35Updated 3 years ago
• harvardnlp / TextFlow
  ☆121Updated 6 years ago
• midas-research / hyperbolic-tlstm-sigir
  ☆15Updated 4 years ago
• dalab / hyperbolic_nn
  Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
  ☆182Updated 5 years ago
• jxhe / vae-lagging-encoder
  PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)
  ☆185Updated 5 years ago
• deep-spin / entmax
  The entmax mapping and its loss, a family of sparse softmax alternatives.
  ☆456Updated last year
• shentianxiao / text-autoencoders
  ☆210Updated last year
• jiacheng-xu / vmf_vae_nlp
  Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"
  ☆171Updated 7 years ago
• kzl / universal-computation
  Official codebase for Pretrained Transformers as Universal Computation Engines.
  ☆247Updated 3 years ago
• sajadn / posterior-collapse-list
  A curated list of techniques to avoid posterior collapse
  ☆85Updated 2 years ago
• dterjek / adversarial_lipschitz_regularization
  Adversarial Lipschitz Regularization
  ☆10Updated 4 years ago
• reiinakano / invariant-risk-minimization
  Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
  ☆91Updated 5 years ago
• yaohungt / TransformerDissection
  [EMNLP'19] Summary for Transformer Understanding
  ☆53Updated 6 years ago