Related Issues (20)
- Make our own label vectorizer
- Detect when input data is too short for the sampler
- Viterbi decoding
- vector HOT 11
- Quantization for feature transforms
- Explicit dtypes
- DL framework integration
- Drop legacy python
- pre-trained embedding features HOT 5
- Fix dtypes to make keras happy
- Default names for transformers ; make all parameters keyword-only HOT 6
- Add FeatureExtractor/TaskTransformer aggregations for Sampler HOT 2
- Faster patch sampling using librosa 0.7.1 frame
- [Feature Proposal] Automatic Pump caching HOT 7
- [Feature] optional explicit frame size for inputs HOT 3
- extra dimension added to feature extractors HOT 1
- Cannot pickle sampler if `random_state` is not set HOT 2
- support tf2.0 HOT 3
- Relying on "keras only" for building layers is limiting! HOT 3
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