Implements 3D convolutional residual networks (3D ResNets) for recognizing human actions in video sequences. The code supports training and testing on standard video action recognition datasets including Kinetics-700, Moments in Time, and STAIR-Actions, and includes support for distributed training, R(2+1)D model variants, and pretrained models.