What AI says about LogBERT

LogBERT is an open-source implementation of log anomaly detection using a BERT-based model. The project covers downloading/log data, parsing logs into structured form, creating log sequences, and training and evaluating a log anomaly detector on datasets such as HDFS, BGL, and Thunderbird. It also provides installation and environment setup guidance (Python, virtualenv/conda) and runnable commands for data preprocessing, model training, and inference.