Abstract: We present TinyTNAS, a hardware-aware Neural Architecture ... depend on reinforcement learning or evolutionary algorithms, requiring significant GPU resources and search time, which may be ...

Run 🤗 Transformers directly in your browser, with no need for a server! Transformers.js is designed to be functionally equivalent to Hugging Face's transformers python library, meaning you can run ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

Workload Discovery on AWS is a solution to visualize AWS Cloud workloads. With it you can build, customize, and share architecture diagrams of your workloads based on live data from AWS. The solution ...

Deep Learning (DL), particularly Convolutional ... this field by enhancing the accuracy of classification tasks. In this work, a novel approach combining a transformerbased Swin-Unet architecture with ...