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I've seen a few people asking about the best languages for StyleSynthesis, and it truly seems like Python is the reigning champion. Its extensive libraries like TensorFlow and PyTorch, coupled with pre-trained models and a vibrant community, make it a relatively accessible starting point. A lot of research and existing implementations are built with Python.
However, that doesn't necessarily mean it's the only option. I could see languages like C++ being useful for performance-critical elements, especially if you're optimizing existing algorithms or working with very large datasets. You'd likely be sacrificing some ease of advancement though.
Ultimately, the "best" language probably depends on your specific goals and what aspect of StyleSynthesis you're focusing on. Are you prioritizing rapid prototyping, performance, or integration with specific hardware? What have others found success with, and what projects have they worked on to share knowledge with each other?