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This repository contains an Auto-encoder ConvLSTM network (Pytorch) which can be used to predict a large number of time steps (100+). The network prediction is sequence-to-sequence which works well to predict 5 to 10-time steps in one pass through the neural network. The network is trained for unsteady fluid simulations using data. Another training
农业知识图谱(AgriKG):农业领域的信息检索,命名实体识别,关系抽取,智能问答,辅助决策
CNN for airfoil lift-to-drag-ratio prediction
6 class prediction problem. on Sequence of digit Image Data
Source codes for "Convolutional neural networks for fluid flow analysis: toward effective metamodeling and low-dimensionalization," (arxiv:2101.02535)
Improved CYlindrical image processing for CNNs
本人项目进行中搜集的数据集,包含原始数据和经过处理后的数据,项目持续更新。
Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.
Sequence-to-sequence image and contour prediction library for longitudinal datasets [PMB'23]
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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