This repo includes ChatGPT prompt curation to use ChatGPT better.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Utilities for Explainable Boosting Machines

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

An semi-supervised extension based on VAE for Regression, demonstrate its performance on two soft sensor benchmark problems.

Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor

A hybirid mechanistic and data-driven (DAE-LSTM) model for estimating the CO2 concentration profile for a carbon capture plant.

[CVPR 2023] Code for our paper DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inversed Gram Matrices

Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

基于迁移学习DANN模型，对不同工况轴承进行故障诊断

Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation

pytorch implementation of Domain-Adversarial Training of Neural Networks

Soft sensor modelling using multiple machine learning algorithms

本人的科研经验

A beautiful hexo blog theme with material design and responsive design.一个基于材料设计和响应式设计而成的全面、美观的Hexo主题。国内访问：https://blinkfox.com

基于LSTM的时间序列预测研究

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

A collection of AWESOME things about domian adaptation

Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning, AAAI-SA'19

Transfer learning

这是论文Unsupervised Domain Adaptation by Backpropagation的复现代码，并完成了MNIST与MNIST-M数据集迁移，master和tf2分支代码为是基于tf2.x，tf1分支代码基于tf1.x

Domain-Adversarial Neural Network in Tensorflow

python 3 pytorch implementation of DANN

A web-based collaborative LaTeX editor

Code for Transfer Learning book--《迁移学习导论》配套代码

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习