Torch

Efficient and effective: Many users have found Torch to be an efficient and effective open-source framework for deep learning modeling. Its pre-trained models and image augmentation tools have made neural network development faster, while its flexibility allows for rapid prototyping of components and faster research without being bogged down by implementation details.

Easy to learn: Several reviewers have praised Pytorch's ease of use, making it a preferred alternative to tensorflow. Its suitable interface for a function and ability to directly print dynamically has helped many users quickly understand how the software works.

Abundance of packages: A common sentiment among many reviewers is that Torch's abundance of packages, including those for machine learning, signal processing, audio, video, parallel processing etc., makes it an invaluable tool in their work. Additionally, the integration of LuaJIT programming language with underlying C implementation made managing dependencies easier than Python.