Pytorch Implementation of DeepLog.
Role in this project:
ML Engineer Contributions:59 commits, 1 PR, 51 pushes in 1 year 6 months
Contributions summary:Yifan primarily worked on implementing and refining a PyTorch-based deep learning model for anomaly detection. Their commits include adding and modifying code for data processing, training, and prediction, along with integrating with tensorboardX for logging. The user also made changes to the model architecture and hyperparameters, and fixed a mistake in the model training loop.
pytorchsequence-predictiondeep-learninganomaly-detectionpytorch-implementation
Contributions:171 pushes, 3 branches, 4 issues in 1 year