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Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
程序员鱼皮的编程宝典。原创编程学习路线，包括经验分享、技术知识、学习资源、学习建议、项目教程、热门面试题、编程自学之路等，适用于所有学习编程 & 求职的同学。
A Library for Advanced Deep Time Series Models.
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
PDEBench: An Extensive Benchmark for Scientific Machine Learning
A Self-Training Physics-Informed Neural Network for Partial Differential Equations
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
用于求解偏微分方程的有限元程序(1&2D finite element codes used to solve PDE)
黑马程序员最新Java项目实战《苍穹外卖》，最适合新手的SpringBoot+SSM企业级项目实战 相比于瑞吉外卖苍穹外卖的业务更加真实完整，用户端改为微信小程序，登录改为了微信登录，加入了统计报表，来单提醒，客户催单，订单管理等功能，业务实现了闭环。技术选型更加丰富和实用。可以认为是增强版瑞吉外卖
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Tensors and Dynamic neural networks in Python with strong GPU acceleration