Hello TensorFlow Community,
I hope this message finds you well. I wanted to reach out to inquire about the current status and future plans for the TensorFlow Model Garden (GitHub - tensorflow/models: Models and examples built with TensorFlow). As an enthusiast in the field of machine learning, particularly interested in generative models, domain adaptation, and contrastive learning, I’ve noticed a significant trend in the adoption of PyTorch for implementing and maintaining these models.
Platforms like Hugging Face and Facebook AI Research have been prolific in their contributions to the field, providing comprehensive implementations and tools, resulting in numerous papers and research leveraging PyTorch and their community resources.
However, I’ve found PyTorch to be somewhat unpolished, often requiring extensive manual configuration, especially when dealing with hardware utilization (CPUs/GPUs), distributed learning, and various backpropagation algorithms. On the other hand, TensorFlow offers a more polished environment for development, yet I’ve observed a lack of parallel implementations of many cutting-edge models compared to what’s available in PyTorch.
In light of this, I’ve taken the initiative to port some of these models into TensorFlow. Upon discovering the TensorFlow Model Garden, I was hopeful to find a vibrant community eager to embrace newer models and contributions. However, the activity in the repository seems relatively subdued.
My query to the community is two-fold:
- Is the TensorFlow Model Garden still an active community? Are there ongoing efforts to update and maintain it?
- Would it be advisable to contribute new models, particularly those that are currently dominant in the PyTorch ecosystem, to the TensorFlow Model Garden?
I believe fostering a strong TensorFlow community around these cutting-edge models could greatly benefit researchers, practitioners, and enthusiasts alike. Any insights, guidance, or suggestions on this matter would be immensely appreciated.
Thank you for your time and consideration.
Abhas Kumar Sinha