Select suitable models, adapt and fine-tune them for signal and speech processing, including CNN and Transformer architectures, state-space models, and end-to-end ASR. Optimize inference through quantization, pruning, kernel fusion, batching strategies,...
- PyTorch
- Linux
- Git
- Docker
- Cuda
- ONNX
- TensorRT
- C++
- +3
- +4