Pretrained classifiers.
CPU only. pip install.
68 classifiers ship ready to use. Text, game state, numeric features. No GPU, no API keys, no cloud dependency.
Live demos
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Fly Navigation
A biomechanical fruit fly forages for food via chemotaxis. Jeffy classifies walk, turn-left, or turn-right from 16 physics features at each step.
Open demo →
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Doom Classifier
Real-time game-state classification. 24 numeric features extracted each frame decide whether to fire, turn left, or turn right.
Open demo →
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Poker AI
Four AI players at a Texas Hold'em table. Each makes fold, check, call, or raise decisions from 18 game-state features, streamed live.
Open demo →68
Classifiers
99.1%
Top accuracy
<80ms
Latency
CPU
No GPU needed
17 English classifiers
51 multilingual classifiers — 60 voice-command intents per language, frozen multilingual embeddings
Predict
from jeffy.engine import Engine
engine = Engine()
engine.load()
result = engine.predict(
"banking77",
"I was charged twice for the same transaction"
)
# {"label": "transaction_charged_twice", "confidence": 0.999}
Train your own
from jeffy.train import train_classifier
clf = train_classifier(
texts=["great product!", "terrible", ...],
labels=["positive", "negative", ...],
task_id="my_reviews",
)
clf.predict("exceeded expectations")
# {"label": "positive", "confidence": 0.87}