ML Engineering Tools
ML Engineering Tools
Model evaluation calculators, training cost estimators, feature engineering references, LLM token counters, and ML pipeline tools that run entirely in your browser.
🔒 Browser-only — no data sent
⚡ Zero account required
📦 12 free tools
evaluation
Confusion Matrix Calculator→
Calculate precision, recall, F1, and accuracy from TP/FP/TN/FN values.
cost
ML Training Cost Estimator→
Estimate GPU training cost from GPU type, count, and training duration.
evaluation
Precision-Recall-F1 Calculator→
Calculate F1, F-beta, and averaging strategies from precision and recall.
training
Learning Rate Scheduler Reference→
Reference guide to LR schedulers — cosine, warmup, OneCycleLR, and LR finder.
training
Batch Size Memory Calculator→
Calculate GPU memory for training from model size, precision, and optimizer.
explainability
Feature Importance Reference→
Reference guide to feature importance methods — SHAP, permutation, LIME, GradCAM.
mlops
ML Experiment Tracking Reference→
Reference guide to ML experiment tracking — MLflow, W&B, DVC, and model registry.
mlops
Model Versioning Reference→
Reference guide to model versioning — shadow deployment, champion-challenger, model cards.
monitoring
Data Drift Threshold Calculator→
Classify PSI drift severity and get monitoring action recommendations.
cost
GPU Utilization Calculator→
Diagnose GPU utilization and calculate monthly wasted cost from underutilization.
llm
LLM Token Count & Cost Estimator→
Estimate token count and monthly LLM API cost from text length and request volume.
serving
ML Pipeline Latency Budget Calculator→
Calculate model inference budget from total latency target and pipeline overhead.