jiaxiang-cheng/jiaxiang-cheng

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jiaxiang-cheng/AI-Expert-Roadmap Fork of AMAI-GmbH/AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

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jiaxiang-cheng/jiaxiang-cheng.github.io

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jiaxiang-cheng/pykan Fork of KindXiaoming/pykan

Kolmogorov Arnold Networks

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jiaxiang-cheng/RUL-prediction-using-attention-based-deep-learning-approach Fork of ZhenghuaNTU/RUL-prediction-using-attention-based-deep-learning-approach

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jiaxiang-cheng/definer

By DeFiNER, Decentralized Finance Navigates Every Route. A Solution Framework for Modeling and Hedging Impermanent Loss and Dynamic Liquidity Provision Using Deep Reinforcement Learning in Uniswap V3 with Concentrated Liquidity. Fintech-As-A-Service: Hackathon of NUS Fintech Summit 2024.

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jiaxiang-cheng/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.

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jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction

PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estimation of remaining useful life. In International conference on database systems for advanced applications (pp. 214-228). Springer, Cham.

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jiaxiang-cheng/survml-nsc Fork of Jeanselme/NeuralSurvivalClustering

Implementation for the paper Neural Survival Clustering: Non parametric mixture of neural networks for survival clustering

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jiaxiang-cheng/survml-pycox Fork of havakv/pycox

Survival analysis with PyTorch

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jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction

PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June). Long short-term memory network for remaining useful life estimation.

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jiaxiang-cheng/survml-deepweisurv Fork of survml/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.

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jiaxiang-cheng/thesis_template_ntu Fork of wang-chen/thesis_template_ntu

Thesis Latex Template for Nanyang Technological University (NTU)

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jiaxiang-cheng/Random-Weighted-Bootstrap-with-Weibull

Reproduction of the work by Hong, Y., Meeker, W. Q., & McCalley, J. D. (2009). Prediction of remaining life of power transformers based on left truncated and right censored lifetime data. Annals of Applied Statistics, 3(2), 857-879.

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jiaxiang-cheng/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.

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jiaxiang-cheng/PyTorch-Dynamic-DeepHit Fork of Jeanselme/DynamicDeepHit

Dynamic Deep Hit - Pytorch implementation

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jiaxiang-cheng/survshap Fork of MI2DataLab/survshap

SurvSHAP(t): Time-dependent explanations of machine learning survival models

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jiaxiang-cheng/DeepHit Fork of chl8856/DeepHit

DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks

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jiaxiang-cheng/cox-nnet Fork of lanagarmire/cox-nnet

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jiaxiang-cheng/DNNSurv Fork of lilizhaoUM/DNNSurv

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jiaxiang-cheng/nnet-survival Fork of MGensheimer/nnet-survival

Discrete-Time Survival Model for Neural Networks

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jiaxiang-cheng/auton-survival Fork of autonlab/auton-survival

Deep Survival Machines - Fully Parametric Survival Regression

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jiaxiang-cheng/DeepSurv Fork of jaredleekatzman/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.

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jiaxiang-cheng/Dynamic-DeepHit Fork of chl8856/Dynamic-DeepHit

Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data

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jiaxiang-cheng/PyTorch-SurvNAM

PyTorch implementation of SurvNAM (under development actively)

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jiaxiang-cheng/RUL-Net Fork of LahiruJayasinghe/RUL-Net

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

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jiaxiang-cheng/Tensorflow-SurvNAM

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jiaxiang-cheng/PyTorch-CycleGAN-pix2pix Fork of junyanz/pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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jiaxiang-cheng/YOLOv5 Fork of ultralytics/yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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jiaxiang-cheng/photography Fork of rampatra/photography

A free online portfolio website to showcase your photos.

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jiaxiang-cheng/PyTorch-Tutorials

Simple implementation for basic tasks.

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jiaxiang-cheng/Deep-Recurrent-Survival-Analysis Fork of rk2900/DRSA

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.

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jiaxiang-cheng/golearn Fork of sjwhitworth/golearn

Machine Learning for Go

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jiaxiang-cheng/Go Fork of xinliangnote/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...

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jiaxiang-cheng/scikit-survival Fork of sebp/scikit-survival

Survival analysis built on top of scikit-learn

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jiaxiang-cheng/transformers Fork of huggingface/transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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jiaxiang-cheng/My-LeetCode

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jiaxiang-cheng/Awesome-Profile-README-templates Fork of kautukkundan/Awesome-Profile-README-templates

A collection of awesome readme templates to display on your profile

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jiaxiang-cheng/RBF-with-SOM-for-Classification

Two pattern classification problem using Radial Basis Functions (RBF) Neural Networks, with center vectors selected via self-organizing map (SOM) neural networks.

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jiaxiang-cheng/home-assistant.io Fork of home-assistant/home-assistant.io

:blue_book: Home Assistant User documentation

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jiaxiang-cheng/Monte-Carlo-for-Generalized-Renewal-Process

Reproduction of the work by Krivtsov, V. V. (2000). A Monte Carlo approach to modeling and estimation of the generalized renewal process in repairable system reliability analysis. University of Maryland, College Park.

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jiaxiang-cheng/Python Fork of TheAlgorithms/Python

All Algorithms implemented in Python

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jiaxiang-cheng/jiaxiang-music.github.io

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jiaxiang-cheng/awesome-github-profile-readme-templates Fork of durgeshsamariya/awesome-github-profile-readme-templates

This repository contains best profile readme's for your reference.

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jiaxiang-cheng/github-stats-transparent Fork of rahul-jha98/github-stats-transparent

Automatically generate summary GitHub statistics images for your profile using Actions, no server required

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jiaxiang-cheng/xtenzQ Fork of xtenzQ/xtenzQ

📝🚀 My Profile README.md made in flat style. Please ⭐ if you like it! ❤

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jiaxiang-cheng/d-koppenhagen Fork of d-koppenhagen/d-koppenhagen

My Github Profile

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jiaxiang-cheng/itgoyo Fork of itgoyo/itgoyo

give me a star , plz orz

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jiaxiang-cheng/SRGAN Fork of leftthomas/SRGAN

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

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jiaxiang-cheng/NTU-EE6225.2

MIMO controller design using ETF and BLT.

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jiaxiang-cheng/resume-template Fork of jglovier/resume-template

:page_facing_up::briefcase::tophat: A simple Jekyll + GitHub Pages powered resume template.

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jiaxiang-cheng/markdown-badges Fork of Ileriayo/markdown-badges

Badges for your Profile and Projects.

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jiaxiang-cheng/single-cage-elevator-automaton-simulation

Simulation of the single-cage elevator in a six-story building.

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jiaxiang-cheng/Remaining-Useful-Life-Prediction-RNN Fork of lankuohsing/Remaining-Useful-Life-Prediction-RNN

Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks

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jiaxiang-cheng/Estimation-of-Remaining-Useful-Life-using-CNN Fork of aqibsaeed/Estimation-of-Remaining-Useful-Life-using-CNN

Convolutional Neural Network based regression approach for estimating machinery's remaining useful life

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jiaxiang-cheng/predict-remaining-useful-life Fork of Featuretools/predict-remaining-useful-life

Predict remaining useful life of a component based on historical sensor observations using automated feature engineering

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jiaxiang-cheng/bert Fork of google-research/bert

TensorFlow code and pre-trained models for BERT

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jiaxiang-cheng/pretrained-models Fork of tensorlayer/pretrained-models

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jiaxiang-cheng/NTU-EE6225.1

First order plus time delay using least square method in time and frequency domain and sustained oscillation generated by relay feedback.

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jiaxiang-cheng/Transferable-Interactiveness-Network Fork of DirtyHarryLYL/Transferable-Interactiveness-Network

Code for Transferable Interactiveness Knowledge for Human-Object Interaction Detection. (CVPR'19, TPAMI'21)

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jiaxiang-cheng/NTU-EE6401

NTU EE6401 Assignment for Part II

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jiaxiang-cheng/TransientFlow.FreeSurfaceChannel

Transient flow in a free surface channel (Equations of Barre de Saint-Venant)

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