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pretrained-models

python

All Algorithms implemented in Python

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.

pytorch-cyclegan-pix2pix

Image-to-Image Translation in PyTorch

pytorch-dynamic-deephit

Dynamic Deep Hit - Pytorch implementation

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.

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.

pytorch-survnam

PyTorch implementation of SurvNAM (under development actively)

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-tutorials

Simple implementation for basic tasks.

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.

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.

remaining-useful-life-prediction-rnn

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

resume-template

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

rul-net

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

rul-prediction-using-attention-based-deep-learning-approach

scikit-survival

Survival analysis built on top of scikit-learn

single-cage-elevator-automaton-simulation

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

srgan

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

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

tensorflow-survnam

thesis_template_ntu

Thesis Latex Template for Nanyang Technological University (NTU)

transferable-interactiveness-network

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

transformers

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

transientflow.freesurfacechannel

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

xtenzq

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

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite