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honeywell21 / DLinear
Forked from cure-lab/LTSF-LinearThis is an official implementation for "Are Transformers Effective for Time Series Forecasting?"
Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803
医药知识图谱自动问答系统实现,包括构建知识图谱、基于知识图谱的流水线问答以及前端实现。实体识别(基于词典+BERT_CRF)、实体链接(Sentence-BERT做匹配)、意图识别(基于提问词+领域词词典)。
本项目旨在结合知识图谱技术和先进的大语言模型,构建一个能够深入理解用户问题并提供准确、有逻辑性回答的智能问答系统。
本项目设计了一个基于 RAG 与大模型技术的医疗问答系统,利用 DiseaseKG 数据集与 Neo4j 构 建知识图谱,结合 BERT 的命名实体识别和 34b 大模型的意图识别,通过精确的知识检索和问答生成, 提升系统在医疗咨询中的性能,解决大模型在医疗领域应用的可靠性问题。
Advanced Multi-Turn QA System with LLM and Intent Recognition. 基于LLM大语言模型意图识别、参数抽取结合slot词槽技术实现多轮问答、NL2API. 打造Function Call多轮问答最佳实践
The source code for " Knowledge Enhanced Multi-intent Transformer Network for Recommendation".
A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建,自动问答,基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱,并以该知识图谱完成自动问答与分析服务。
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
tsbootstrap: generate bootstrapped time series samples in Python
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research
Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
Use GRU,LSTM,CNN to predict the RUL in C-MAPSS dataset
RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN
A Library for Advanced Deep Time Series Models.
A unified interface for downloading and loading popular Image Quality Assessment (IQA) datasets.
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
A comprehensive collection of IQA papers
Official implementation for CVPR2023 Paper "Re-IQA : Unsupervised Learning for Image Quality Assessment in the Wild"
Measures and metrics for image2image tasks. PyTorch.