hierarchical-lstm

An implementation of seminal CVPR 2016 paper: "A Hierarchical Deep Temporal Model for Group Activity Recognition."

Key Features: Simple VAE architecture with encoder/decoder Synthetic music data generation for training Interactive training with progress tracking Music generation from latent space sampling Audio conversion and playback Downloadable audio files

Multi-band hierarchical LSTM modeling for forecasting european T2 ethanol prices

Modern & enhanced implementation of Hierarchical Deep Temporal Models for Group Activity Recognition in Volleyball.

Implementation of the CVPR 2016 paper, “A Hierarchical Deep Temporal Model for Group Activity Recognition”