PrototypeCommon
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.
- Owner
- jiaxiang-cheng (personal account)
- Stars
- Stars: 187
- Forks
- Forks: 26
- Language
- Python
- License
- Apache-2.0
- Created
- 2021
- Topics
- lstmlstm-neural-networksremaining-useful-lifepytorchcmapss
- Tier
- Prototype (100 to 249 ★) What this tier means
More repos by jiaxiang-cheng
All 3 repos by jiaxiang-cheng- jiaxiang-cheng/PyTorch-Transformer-for-RUL-PredictionStars: 313PythonAlpha
- jiaxiang-cheng/PyTorch-CNN-for-RUL-PredictionStars: 105PythonPrototype
Nearby in Python
All Python repos- EfficientStreet/youtube-subscriptions-ingestStars: 187PythonPrototype
- Jakeschincariol/chatgpt-youtube-agent-skillStars: 187PythonPrototype
- unclebob/crapperStars: 187PythonPrototype
- openzoom/deepzoom.pyStars: 187PythonPrototype
- zacharyvoase/urlobjectStars: 187PythonPrototype
- navdeep-G/showmeStars: 187PythonPrototype