Lists (21)
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NLP相关
Physics-Informed Neural Networks
pytorch深度学习
Tensorflow
信号处理
用于信号处理元学习
切削加工相关
南航毕业论文latex模板
小样本学习
工具箱
异常检测相关
数学(统计学等)
数据科学通用(python, numpy, pandas,mt)
数据集
时间序列-迁移学习
面向时间序列数据的迁移学习智能优化算法
智能运维相关
机器学习
计算机通用学习(linux等)
迁移学习
进化计算
Stars
[TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup
Feature-Critic Networks for Heterogeneous Domain Generalisation
Unofficial PyTorch implementation of Domain Adaptation Forecaster
PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization
The implementation of "Mixup Induced Domain Extrapolation for Domain Generalization"
Domain Generalization with MixStyle (ICLR'21)
[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study" published in TIM
This is the authors' official PyTorch implementation for TKNets method in the AAAI 2024 paper Generalizing across Temporal Domains with Koopman Operators
This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和预测)
A GUI client for Windows, Linux and macOS, support Xray core and sing-box-core and others
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
A python library for the following Multiobjective Optimization Algorithms or Many Objectives Optimization Algorithms: C-NSGA II; CTAEA; GrEA; HypE; IBEA-FC; IBEA-HV; MOEA/D; NAEMO; NSGA II; NSGA II…
Automatic extraction of relevant features from time series:
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…