lorashen's Stars
liushuman/neural-knowledge-diffusion
moses-smt/mosesdecoder
Moses, the machine translation system
NVIDIA/Megatron-LM
Ongoing research training transformer models at scale
qywu/Chinese-GPT
Chinese Transformer Generative Pre-Training Model
VinAIResearch/PhoBERT
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
PolyAI-LDN/conversational-datasets
Large datasets for conversational AI
CornellNLP/ConvoKit
ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.
ramsrigouthamg/Questgen.ai
Question generation using state-of-the-art Natural Language Processing algorithms
commonsense/conceptnet5
Code for building ConceptNet from raw data.
csnlp/Dialogue-Generation
A Paper List for Open-Domain Dialogue Generation, and related datasets.
microsoft/DialoGPT
Large-scale pretraining for dialogue
THUDM/Chinese-Transformer-XL
THUDM/iPrompt
Code, Data and Demo for Paper: Controllable Generation from Pre-trained Language Models via Inverse Prompting
frankplus/meena-chatbot
Google's Meena transformer chatbot implementation
google-research/google-research
Google Research
princeton-nlp/SimCSE
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
gucci-j/negotiation-breakdown-detection
EACL 2021 - Dialogue Act-based Breakdown Detection in Negotiation Dialogues
xiongma/transformer-pointer-generator
A Abstractive Summarization Implementation with Transformer and Pointer-generator
piskvorky/gensim
Topic Modelling for Humans
ownthink/KnowledgeGraphData
史上最大规模1.4亿中文知识图谱开源下载
ymcui/cmrc2018
A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)
xanhho/Reading-Comprehension-Question-Answering-Papers
Survey on Machine Reading Comprehension
thunlp/RCPapers
Must-read papers on Machine Reading Comprehension
facebookresearch/DrQA
Reading Wikipedia to Answer Open-Domain Questions
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
jina-ai/clip-as-service
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
naver/sqlova
taoyds/typesql
TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation
guillaumegenthial/tf_metrics
Multi-class metrics for Tensorflow
ayoungprogrammer/nlquery
Natural Language Engine on WikiData