ypengc7512's repositories
pytorch-doc-zh
Pytorch 中文文档
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
visualbert
Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"
Zh-Ja-Translation-Corpus
从人民网收集中日对译语料库/「人民网」から日中対訳コーパスを収集する
Adaptive-Diversity-Promoting
Adversarial Defense for Ensemble Models (ICML 2019)
BERT-related-papers
BERT-related papers
Conference-Acceptance-Rate
Statistics of acceptance rate for the main AI conference
dlcl
The implementation of "Learning Deep Transformer Models for Machine Translation"
dspdfviewer
Dual-Screen PDF Viewer for latex-beamer
DualRL
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
MomentumContrast.pytorch
Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning
mosesdecoder
Moses, the machine translation system
MT-Reading-List
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
paws
This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase identification.
selective-attn
Data and code used in our NAACL'19 paper "Selective Attention for Context-aware Neural Machine Translation"
self-critical.pytorch
Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning; py3 version in py3 branch (it actually should be compatible to both py2 and py3)
sparsemax-pytorch
Implementation of Sparsemax activation in Pytorch
SU4MLC
Code for the article "Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification" (EMNLP 2018)
THUMT
An open-source neural machine translation toolkit developed by Tsinghua Natural Language Processing Group
transformer
A TensorFlow Implementation of the Transformer: Attention Is All You Need
Unsupervised_Embedding_Learning
Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature