Alternatives and similar repositories for learning-data-manipulation

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

• brendenlake / meta_seq2seq
  PyTorch code for meta seq2seq learning
  ☆43Updated 5 years ago
• kimiyoung / glomo
  Unsupervised Learning of Transferable Relational Graphs
  ☆69Updated 6 years ago
• sarahwie / attention
  Code for EMNLP 2019 paper "Attention is not not Explanation"
  ☆58Updated 4 years ago
• serrano-s / attn-tests
  Checking the interpretability of attention on text classification models
  ☆49Updated 6 years ago
• gonglinyuan / StackingBERT
  Source code for "Efficient Training of BERT by Progressively Stacking"
  ☆112Updated 6 years ago
• sid7954 / beam-joint-attention
  ☆13Updated 6 years ago
• nelson-liu / inoculation-by-finetuning
  Code for the paper "Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets", to be presented at NAACL 2019.
  ☆19Updated 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
• ChengyueGongR / advsoft
  Language Model Baselines for PyTorch
  ☆41Updated 4 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
• successar / AttentionExplanation
  ☆315Updated 3 years ago
• harvardnlp / encoder-agnostic-adaptation
  Encoder-Agnostic Adaptation for Conditional Language Generation
  ☆79Updated last year
• Lingkai-Kong / Calibrated-BERT-Fine-Tuning
  Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
  ☆35Updated 4 years ago
• intersun / CoDIR
  Code for EMNLP 2020 paper CoDIR
  ☆41Updated 2 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
• zbloss / reformer_lm
  a Pytorch implementation of the Reformer Network (https://openreview.net/pdf?id=rkgNKkHtvB)
  ☆53Updated 2 years ago
• jiacheng-xu / vmf_vae_nlp
  Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"
  ☆169Updated 6 years ago
• fdalvi / NeuroX-demo
  ☆66Updated 2 years ago
• LiyuanLucasLiu / Torch-Scope
  A Toolkit for Training, Tracking, Saving Models and Syncing Results
  ☆61Updated 5 years ago
• YujiaBao / R2A
  "Deriving Machine Attention from Human Rationales" EMNLP 2018
  ☆27Updated 6 years ago
• vanzytay / NIPS2018_DECAPROP
  Implementation of Densely Connected Attention Propagation for Reading Comprehension (NIPS 2018)
  ☆69Updated 6 years ago
• sebastianruder / sluice-networks
  Code for Sluice networks: Learning what to share between loosely related tasks
  ☆154Updated 6 years ago
• pclucas14 / GansFallingShort
  Code for "Language GANs Falling Short"
  ☆59Updated 4 years ago
• lancopku / Prime
  A simple module consistently outperforms self-attention and Transformer model on main NMT datasets with SoTA performance.
  ☆85Updated 2 years ago
• TimDettmers / transformer-xl
  ☆64Updated 5 years ago
• pmichel31415 / teapot-nlp
  Tool for Evaluating Adversarial Perturbations on Text
  ☆61Updated 3 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 4 years ago
• asiddhant / Active-NLP
  Bayesian Deep Active Learning for Natural Language Processing Tasks
  ☆147Updated 6 years ago
• pmichel31415 / are-16-heads-really-better-than-1
  Code for the paper "Are Sixteen Heads Really Better than One?"
  ☆172Updated 5 years ago
• epfml / collaborative-attention
  Code for Multi-Head Attention: Collaborate Instead of Concatenate
  ☆152Updated 2 years ago