yaoxy2010

-Introduction-to-Modern-Statistics-

📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference.

100-Days-Of-ML-Code

100 Days of ML Coding

2016-pydata-carolinas-pandas

Material for Pandas Tutorial at Pydata Carolinas 2016

2ManyScales

Simulation of 1D electrolyte system using PyBaMM framework

2RC_ECM

3-D-Scene-Graph

3D scene graph generator implemented in Pytorch.

3D-

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

AAAI2020-RiskOracle

AAAIA2020-Accident Forecasting Experiments Setups

Prediction-of-Fire-Source-in-Tunnel

Prediction of Fire Source in Tunnel Based on the Numerical Database and Artificial Intelligence

yaoxy2010/ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

yaoxy2010/awesome-multi-task-learning

2021 up-to-date list of papers on Multi-Task Learning (MTL), from Machine Learning perspective.

yaoxy2010/awesome-TS-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

yaoxy2010/battery-thermal-characterisation

Code repository for paper "Anisotropic thermal characterisation of large-format lithium-ion pouch cells"

yaoxy2010/bcnn

3D Bayesian Convolutional Neural Network (BCNN) for Credible Geometric Uncertainty. Code for the paper: https://arxiv.org/abs/1910.10793

yaoxy2010/ClothingTransfer-NCNN

CT-Net, OpenPose, LIP_JPPNet, DensePose running with ncnn⚡服装迁移/虚拟试穿⚡ClothingTransfer/Virtual-Try-On⚡

yaoxy2010/code-dynalearn

yaoxy2010/d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

yaoxy2010/Data-Augmentation-Technique-for-Battery-Data

This is an implementation of “ Effective Battery Parameter Data Augmentation Techniques to Resolve Sparse Dataset Challenges. Variables considered- Voltage (V), Charge Capacity (Ah), Battery Level.

yaoxy2010/Data-Science-Notes

数据科学的笔记以及资料搜集

yaoxy2010/Dataset-for-NN-based-on-Fast-charging-dataset-protocols

The paper that the charging protocols that was based on: Attia, P.M., Grover, A., Jin, N. et al. Closed-loop optimization of fast-charging protocols for batteries with machine learning. Nature 578, 397–402 (2020). https://doi.org/10.1038/s41586-020-1994-5

yaoxy2010/DeepADoTS

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

yaoxy2010/EasyEIS-with-SMU

yaoxy2010/flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

yaoxy2010/GAN_Review

A Survey and Taxonomy of the Recent GANs Development，computer vision & time series

yaoxy2010/gangealing

Official PyTorch Implementation of GAN-Supervised Dense Visual Alignment

yaoxy2010/gansformer

Generative Adversarial Transformers

yaoxy2010/GP-RNN_UAI2019

Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks", Qi She, Anqi Wu, UAI2019

yaoxy2010/Inside-Deep-Learning

Inside Deep Learning: The math, the algorithms, the models

yaoxy2010/lithium-battery-ocv-fitting

磷酸铁锂电池OCV-SOC曲线拟合python程序

yaoxy2010/MAE-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

yaoxy2010/ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

yaoxy2010/ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

yaoxy2010/MSc_Thesis_Predictive_Maintenance_Batteries

The GitHub repository accompanying the MSc Thesis at Esade written by Oliver Caspers regarding the topic “Predictive Maintenance for Lithium-Ion Batteries: Predicting the Remaining Useful Life (RUL) using Data-Driven Machine Learning based on Real-World Battery Datasets”.

yaoxy2010/MTBook

《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

yaoxy2010/pbdl-book

Welcome to the Physics-based Deep Learning Book (v0.1)

yaoxy2010/pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

yaoxy2010/scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

yaoxy2010/synthetic-data-gan

Experimenting with generating synthetic data using ydata-synthetic

yaoxy2010/TimeSeriesForecasting-DeepLearning

An experiemtal review on deep learning architectures for time series forecasting