HarshTrivedi / packing-unpacking-pytorch-minimal-tutorialLinks
Minimal tutorial on packing and unpacking sequences in pytorch
☆210Updated 6 years ago
Alternatives and similar repositories for packing-unpacking-pytorch-minimal-tutorial
Users that are interested in packing-unpacking-pytorch-minimal-tutorial are comparing it to the libraries listed below
Sorting:
- ☆468Updated 4 years ago
- A repository containing tutorials for practical NLP using PyTorch☆538Updated 5 years ago
- Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Process…☆251Updated 7 years ago
- Understanding and visualizing PyTorch Batching with LSTM☆141Updated 7 years ago
- A repository of concepts related to neural networks for NLP☆455Updated 5 years ago
- Fast, general, and tested differentiable structured prediction in PyTorch☆1,114Updated 3 years ago
- The Annotated Encoder Decoder with Attention☆166Updated 4 years ago
- Neural Text Generation with Unlikelihood Training☆309Updated 4 years ago
- Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CAS…☆747Updated 3 years ago
- ☆315Updated 3 years ago
- ☆323Updated 2 years ago
- PyTorch source code of NAACL 2019 paper "An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models"☆96Updated last year
- This repository stores slides for a tutorial on variational inference for NLP audiences.☆297Updated 6 years ago
- Fully batched seq2seq example based on practical-pytorch, and more extra features.☆76Updated 7 years ago
- A toolkit for evaluating the linguistic knowledge and transferability of contextual representations. Code for "Linguistic Knowledge and T…☆210Updated 3 years ago
- Understanding the Difficulty of Training Transformers☆329Updated 3 years ago
- Byte Pair Encoding for Python!☆231Updated 2 years ago
- PyTorch implementation of beam search decoding for seq2seq models☆339Updated 2 years ago
- Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling☆365Updated 5 years ago
- Unsupervised Statistical Machine Translation☆229Updated 5 years ago
- A set of tutorials for torchtext☆186Updated 6 years ago
- An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.☆134Updated 5 years ago
- New dataset☆306Updated 4 years ago
- SentAugment is a data augmentation technique for NLP that retrieves similar sentences from a large bank of sentences. It can be used in c…☆362Updated 3 years ago
- Transformer training code for sequential tasks☆611Updated 3 years ago
- PyTorch DataLoader for seq2seq☆85Updated 6 years ago
- Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA☆721Updated 5 years ago
- Codebase for testing whether hidden states of neural networks encode discrete structures.☆393Updated last year
- Python code for various NLP metrics☆168Updated 5 years ago
- Curated Reinforcement Learning Resources for Natural Language Processing☆400Updated 7 years ago