Jia-Xiang Cheng's repositories
PyTorch-Transformer-for-RUL-Prediction
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.
PyTorch-PDQN-for-Digital-Twin-ACS
PyTorch implementation of RIC for conveyor systems with Deep Q-Networks (DQN) and Profit-Sharing (PS). Wang, T., Cheng, J., Yang, Y., Esposito, C., Snoussi, H., & Tao, F. (2020). Adaptive Optimization Method in Digital Twin Conveyor Systems via Range-Inspection Control. IEEE Transactions on Automation Science and Engineering.
auton-survival
Deep Survival Machines - Fully Parametric Survival Regression
DeepSurv
DeepSurv is a deep learning approach to survival analysis. Katzman, J. L., Shaham, U., Cloninger, A., Bates, J., Jiang, T., & Kluger, Y. (2018). DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network. BMC medical research methodology, 18(1), 1-12.
PyTorch-Tutorials
Simple implementation for basic tasks.
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
PyTorch-SurvNAM
PyTorch implementation of SurvNAM (under development actively)
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
Awesome-Profile-README-templates
A collection of awesome readme templates to display on your profile
Deep-Recurrent-Survival-Analysis
Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.
github-stats-transparent
Automatically generate summary GitHub statistics images for your profile using Actions, no server required
Go
【Go 从入门到实战】学习笔记，从零开始学 Go、Gin 框架，基本语法包括 26 个Demo，Gin 框架包括：Gin 自定义路由配置、Gin 使用 Logrus 进行日志记录、Gin 数据绑定和验证、Gin 自定义错误处理、Go gRPC Hello World... 持续更新中...
golearn
Machine Learning for Go
gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
home-assistant.io
:blue_book: Home Assistant User documentation
photography
A free online portfolio website to showcase your photos.
PyTorch-CycleGAN-pix2pix
Image-to-Image Translation in PyTorch
PyTorch-Dynamic-DeepHit
Dynamic Deep Hit - Pytorch implementation
scikit-survival
Survival analysis built on top of scikit-learn
survml-deepweisurv
PyTorch implementation of DeepWeiSurv, by Bennis, A., Mouysset, S., & Serrurier, M. (2020, May). Estimation of conditional mixture Weibull distribution with right censored data using neural network for time-to-event analysis. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (pp. 687-698). Springer, Cham.
survml-nsc
Implementation for the paper Neural Survival Clustering: Non parametric mixture of neural networks for survival clustering
survml-pycox
Survival analysis with PyTorch
survshap
SurvSHAP(t): Time-dependent explanations of machine learning survival models
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
YOLOv5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite