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ai-chatbot-framework icon ai-chatbot-framework

A python chatbot framework with Natural Language Understanding and Artificial Intelligence.

allennlp icon allennlp

An open-source NLP research library, built on PyTorch.

attention-over-attention icon attention-over-attention

Implementation of Attention-over-Attention Neural Networks for Reading Comprehension (https://arxiv.org/abs/1607.04423) in TensorFlow

awesome-chinese-nlp icon awesome-chinese-nlp

A curated list of resources for NLP (Natural Language Processing) for Chinese 中文自然语言处理相关资料

bimpm icon bimpm

BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences

biomedicus icon biomedicus

The BioMedical Information Collection and Understanding System leverages open source solutions for text analysis and provides new analytic tools for processing and analyzing text of biomedical and clinical reports.

ceqa icon ceqa

知识图谱问答系统

cf4j icon cf4j

CF4J: Collaborative Filtering for Java

chinese-poetry icon chinese-poetry

最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人,21050首词。

claudia-bot-builder icon claudia-bot-builder

Create chat bots for Facebook Messenger, Slack, Amazon Alexa, Skype, Telegram, Viber, GroupMe, Kik and Twilio and deploy to AWS Lambda in minutes

colossalai icon colossalai

Making large AI models cheaper, faster and more accessible

deep-siamese-text-similarity icon deep-siamese-text-similarity

Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character embeddings

discogan icon discogan

Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

essence icon essence

Automatically extract the main text content (and more) from an HTML document

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

freeaskinternet icon freeaskinternet

FreeAskInternet is a completely free, PRIVATE and LOCALLY running search aggregator & answer generate using MULTI LLMs, without GPU needed. The user can ask a question and the system will make a multi engine search and combine the search result to LLM and generate the answer based on search results. It's all FREE to use.

generative-recommenders icon generative-recommenders

Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152, ICML'24).

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