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unitaryai/detoxify
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at [email protected].
1.2k 143 +1/wk
GitHub
bert bert-model hate-speech hate-speech-detection hatespeech huggingface huggingface-transformers kaggle-competition nlp pytorch-lightning sentence-classification toxic-comment-classification
Trend
3
Star & Fork Trend (26 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
unitaryai/detoxify has +1 stars this period . 7-day velocity: 0.2%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | detoxify | RAGxplorer | Awesome-TimeSeries-SpatioTemporal-LM-LLM | bpemb |
|---|---|---|---|---|
| Stars | 1.2k | 1.2k | 1.2k | 1.2k |
| Forks | 143 | 115 | 90 | 100 |
| Weekly Growth | +1 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | N/A | MIT |
Capability Radar vs RAGxplorer
detoxify
RAGxplorer
Maintenance Activity 100
Last code push 2 days ago.
Community Engagement 59
Fork-to-star ratio: 11.8%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 45
+1 stars this period — 0.08% growth rate.
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.