https://github.com/astorfi/sequence-to-sequence-from-scratch
Neural Machine Translation by Jointly Learning to Align and Translate
Papers with Code 아카이브
Chatbot
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Chatbot or conversational AI is a language model designed and implemented to have conversations with humans.
Source: Open Data Chatbot
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/atpaino/deep-text-corrector
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/aunabil4602/bnlp-workshop-task2-2023
https://github.com/avidale/arxivarius
Training Neural Response Selection for Task-Oriented Dialogue Systems
https://github.com/awslabs/sockeye
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/b-etienne/Seq2seq-PyTorch
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/batra-mlp-lab/visdial
https://github.com/batra-mlp-lab/visdial-challenge-starter-pytorch
https://github.com/bentrevett/pytorch-seq2seq
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/bjoernpl/fasteval
https://github.com/bkoch4142/attention-is-all-you-need-paper
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/brainsqueeze/text2vec
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/brandon3964/multimodal-task-vector
https://github.com/brightmart/text_classification
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/cerebroai/AskIt
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/chao-ji/tf-seq2seq
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/chunghyunhee/twitter_disaster_NLP
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/circlePi/knowledge-driven-dialogue-lic2019
Multiple Generative Models Ensemble for Knowledge-Driven Proactive Human-Computer Dialogue Agent
https://github.com/clips/ADATaLKS
https://github.com/cornell-zhang/llm-datatypes
https://github.com/cosmoquester/seq2seq
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/cui0523/Code6/tree/main/duconv
Multiple Generative Models Ensemble for Knowledge-Driven Proactive Human-Computer Dialogue Agent
https://github.com/dalmia/Quora-Question-Pairs
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/daniel-furman/sft-demos
https://github.com/danny911kr/REALTALK
Evaluating Very Long-Term Conversational Memory of LLM Agents
https://github.com/daphne12345/SummarizationRadiologyReports
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/datalogue/keras-attention
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/davidkim205/komt
https://github.com/deepsense-ai/unblackboxing_webinar
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/devJWSong/bert-crf-entity-recognition-pytorch
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
https://github.com/devJWSong/gpt2-chatbot-pytorch
Personalizing Dialogue Agents: I have a dog, do you have pets too?
https://github.com/devjwsong/gpt2-dialogue-generation-pytorch
Personalizing Dialogue Agents: I have a dog, do you have pets too?
https://github.com/dinobby/hypemo
Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset
https://github.com/dirtdust/TC-Bot-python3
https://github.com/distractor-generation/dg_survey
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/dladustn95/ENMODEL
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.