A PyTorch Implementation of Generating Sentences from a Continuous Space by Bowman et al. 2015.
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Mar 26, 2024 - Python
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reconstruction-error
Here are 8 public repositories matching this topic...
[ROBOVIS 2026] Code for the Adaptive Keyframe Selection for Scalable 3D Scene Reconstruction in Dynamic Environments paper.
drone reconstruction slam dynamic-environments 3d 3d-reconstruction scene-understanding reconstruction-algorithm reconstruction-error keyframe-selection reconstruction-loss data-bottleneck
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Jul 21, 2026 - Python
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Mar 11, 2019 - Python
Deteccion de anomalias en facturas de procurement minero con autoencoder no supervisado en PyTorch
python supply-chain pytorch mining autoencoder procurement unsupervised-learning chile fraud-detection anomaly-detection reconstruction-error invoice-anomaly
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Sep 5, 2026 - Python
This project highlights the importance of dimensionality reduction by exploring 2 Machine learning techniques called "Principal Component Analysis" and "T-SNE".
machine-learning pca-analysis dimensionality-reduction explained-variance tsne-visualization reconstruction-error
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Sep 29, 2023 - Jupyter Notebook
Anomaly detection with Dense, LSTM, and Conv1D autoencoders — reconstruction error, adaptive thresholds, ROC/PR analysis, and error heatmaps.
deep-learning time-series pytorch ae autoencoder unsupervised-learning anomaly-detection conv1d lstm-autoencoder reconstruction-error
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Oct 8, 2025 - Jupyter Notebook
machine-learning probability-distribution autoencoder unsupervised-learning anomaly-detection ais-data reconstruction-error
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Feb 11, 2026 - Jupyter Notebook
Unsupervised autoencoder trained on FSM state-transition traces to detect runtime hardware faults via reconstruction error thresholding
pytorch autoencoder finite-state-machine unsupervised-learning fault-injection digital-systems anomaly-detection hardware-security reconstruction-error
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Apr 26, 2026 - Python
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