FAIR open sources deep-learning modules for Torch

What this post added

This post details the open-sourcing of optimized deep-learning modules for Torch by FAIR. It highlights significant performance improvements in convolutional neural networks (ConvNets) through FFT-based convolutions and GPU acceleration, as well as the introduction of modules for multi-GPU parallelization, optimized lookup tables, and faster temporal convolution layers. This release aims to accelerate AI research and development by providing the community with high-performance tools.