Alternatives and similar repositories for learning-data-manipulation

Users that are interested in learning-data-manipulation are comparing it to the libraries listed below

• pclucas14 / GansFallingShort
  Code for "Language GANs Falling Short"
  ☆59Updated 4 years ago
• guxd / DialogWAE
  Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder (https://arxiv.org/abs/1805.12352)
  ☆125Updated 6 years ago
• sid7954 / beam-joint-attention
  ☆13Updated 6 years ago
• AsaCooperStickland / Bert-n-Pals
  Pytorch implementation of Bert and Pals: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning (https://arxiv.org/ab…
  ☆82Updated 6 years ago
• sebastianruder / sluice-networks
  Code for Sluice networks: Learning what to share between loosely related tasks
  ☆153Updated 6 years ago
• jiacheng-xu / vmf_vae_nlp
  Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"
  ☆168Updated 6 years ago
• brendenlake / meta_seq2seq
  PyTorch code for meta seq2seq learning
  ☆43Updated 5 years ago
• YujiaBao / R2A
  "Deriving Machine Attention from Human Rationales" EMNLP 2018
  ☆27Updated 6 years ago
• ofirpress / sandwich_transformer
  This repository contains the code for running the character-level Sandwich Transformers from our ACL 2020 paper on Improving Transformer …
  ☆55Updated 4 years ago
• harvardnlp / var-attn
  Latent Alignment and Variational Attention
  ☆327Updated 6 years ago
• sarahwie / attention
  Code for EMNLP 2019 paper "Attention is not not Explanation"
  ☆58Updated 4 years ago
• ChengyueGongR / advsoft
  Language Model Baselines for PyTorch
  ☆42Updated 4 years ago
• nng555 / ssmba
  ☆63Updated 3 years ago
• jamie-murdoch / ContextualDecomposition
  Demo for method introduced in "Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs"
  ☆56Updated 4 years ago
• fangleai / Implicit-LVM
  This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 20…
  ☆55Updated 3 years ago
• bplank / semi-supervised-baselines
  Code for "Strong Baselines for Neural Semi-supervised Learning under Domain Shift" (Ruder & Plank, 2018 ACL)
  ☆61Updated 2 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 4 years ago
• serrano-s / attn-tests
  Checking the interpretability of attention on text classification models
  ☆49Updated 5 years ago
• drimpossible / Sampling-Bias-Active-Learning
  Code for the paper "Sampling Bias in Deep Active Classification: An Empirical Study"
  ☆16Updated last year
• ccsasuke / man
  Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)
  ☆81Updated 5 years ago
• wellecks / nonmonotonic_text
  Non-Monotonic Sequential Text Generation (ICML 2019)
  ☆72Updated 6 years ago
• camelop / NLP-Robustness
  OOD Generalization and Detection (ACL 2020)
  ☆60Updated 5 years ago
• robinjia / adversarial-squad
  Code from Jia and Liang, "Adversarial Examples for Evaluating Reading Comprehension Systems" (EMNLP 2017)
  ☆118Updated 6 years ago
• TimDettmers / transformer-xl
  ☆64Updated 5 years ago
• rdspring1 / PyTorch_GBW_LM
  PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset
  ☆123Updated 5 years ago
• ExplorerFreda / VGNSL
  [ACL 2019] Visually Grounded Neural Syntax Acquisition
  ☆90Updated last year
• gonglinyuan / StackingBERT
  Source code for "Efficient Training of BERT by Progressively Stacking"
  ☆112Updated 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
• yunjey / seq2seq-dataloader
  PyTorch DataLoader for seq2seq
  ☆85Updated 6 years ago
• harvardnlp / encoder-agnostic-adaptation
  Encoder-Agnostic Adaptation for Conditional Language Generation
  ☆79Updated 11 months ago