Hey there, fellow machine learning enthusiasts! I’m thrilled to share with you a project I’ve been working on – YFlow, an open-sourced deep learning library that’s packed with exciting features. YFlow supports regular deep learning, RNN, LSTM, and Transformers Architecture, although I haven’t had a chance to test the transformers architecture yet.
One of the best parts? It’s GPU-enabled, which means you can harness the power of your graphics card to speed up your computations. Unfortunately, I haven’t been able to test this feature myself since my MacBook is a bit old and doesn’t have a GPU. But I’ve seen it work smoothly on CPU, so I’m confident it’ll do the same on GPU.
If you’re curious about the nitty-gritty details of YFlow, I’ve got you covered. The Readme and Contributing Files have all the information you need to get started.
Ready to dive in? Check out the GitHub link: https://github.com/krauscode920/YFlow
Your feedback is invaluable to me, so please don’t hesitate to share your thoughts and suggestions. I’m excited to hear what you think!