warpt-ctc
Warp-CTC is a high-performance machine learning software designed for efficient training of sequence data using Connectionist Temporal Classification (CTC). Its fast parallel implementation on CPU and GPU significantly enhances scalability, making it ideal for end-to-end systems like speech recognition. The library offers a straightforward C interface, ensuring easy integration with deep learning frameworks while maintaining numerical stability and optimized memory management.
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Top warpt-ctc Features
- Fast parallel CTC computation
- Efficient CPU and GPU support
- High-performance CTC implementation
- Simple C interface
- Dynamic programming optimization
- Numerical stability in calculations
- OpenMP parallelism for CPUs
- CUDA stream support for GPUs
- No internal memory allocation
- Scalable training for RNNs
- Compatible with Torch framework
- Comprehensive benchmarking results
- Community-driven improvements welcome
- Suitable for speech recognition
- Supports large minibatch sizes
- Tested on Ubuntu and OSX.
