THE SYSTEMS ATLAS
RESEARCH LABORATORY

ML LAB

EXPERIMENT • TRAIN • EVALUATE • ITERATE

A space for building, experimenting, and researching machine learning systems.

ACTIVE TRACK: ANOMALY DETECTION

COMPUTE STATUS

SIMULATED DEMO
GPU CLUSTER
78%
GPU
1/2
VRAM
14.2 GB
🌡
TEMP
62°C

ACTIVE EXPERIMENTS

CLICK CARD TO BENCHMARK

MODEL PERFORMANCE

Anomaly Detection
Accuracy
0.941↗
Precision
0.943
Recall
0.939↗
F1-Score
0.941
Controlled holdout benchmark on synthetic station fault dataset

RECENT RUNS

DATASETS

IoT Sensor
(1.2 GB)
Voice Commands
(4.8 GB)
Domain Docs
(2.4 GB)
Custom
(860 MB)
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TECH STACK