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nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

openke

An Open-Source Package for Knowledge Embedding (KE)

p-tuning

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

paper-picture-writing-code

Paper Picture Writing Code

parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

pet

This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

plot_demo

论文里可以用到的实验图示例

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

practical_nlp_in_pytorch

A repository containing tutorials for practical NLP using PyTorch

prml

PRML algorithms implemented in Python

program-of-thoughts

Data and Code for Program of Thoughts

promptpapers

Must-read papers on prompt-based tuning for pre-trained language models.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-batch-attention-seq2seq

PyTorch implementation of batched bi-RNN encoder and attention-decoder.

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-distributed

A quickstart and benchmark for pytorch distributed training.

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_tricks

some tircks for PyTorch

reina

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rel2text

Code for the paper Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Models

relm_unmt

Python source code for EMNLP 2020 paper "Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT".

research

novel deep learning research works with PaddlePaddle

resume

An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

rng-kbqa

selectivemasking

Source code for "Train No Evil: Selective Masking for Task-Guided Pre-Training"

self-instruct

Aligning pretrained language models with instruction data generated by themselves.