This notebook implements an encoder-decoder model with attention as described here. Here is a diagram showing an attention-based NMT system as described in Luong's paper. The attention computation ...

Accurate traffic flow forecasting is crucial for managing and planning urban transportation systems. Despite the widespread use of sequence modelling models like Long Short-Term Memory (LSTM) for this ...

Transformer Block Implementation: Implemented individual Transformer blocks, including MultiHeadAttention, FeedForward, and LayerNormalization, then integrated them into Encoder and Decoder structures ...

NVIDIA's TensorRT-LLM now supports encoder-decoder models with in-flight batching, offering optimized inference for AI applications. Discover the enhancements for generative AI on NVIDIA GPUs. The IRS ...

Multi-step ahead runoff forecasting through quantile-based encoder-decoder models [Conference presentation]. HydroML symposium, Online. Recent Presentations. An integrated probabilistic deep learning ...