TensorFlow Compression (TFC) contains data compression tools for TensorFlow. You can use this library to build your own ML models with end-to-end optimized data compression built in. It's useful to ...

Abstract: Splat and antisplat events are a widely found phenomenon in three-dimensional turbulent flow fields. Splats are observed when fluid locally impinges on an impermeable surface transferring ...

spirit-v1.5/ ├── model/ # Model architecture │ ├── modeling_spirit_vla.py # Main model architecture (Qwen3-VL backbone + DiT head + policy API) │ ├── dataset/ # Dataset and data processing │ ├── ...

Abstract: Anomaly detection (AD) is increasingly recognized as a key component for ensuring the resilience of future communication systems. While deep learning has shown state-of-the-art AD ...

The rate of ice flow is a primary control on the rate of mass loss from ice sheets and glaciers. Therefore, the model representation for ice flow is critical to projections of future ice sheet and sea ...

Machine Learning (ML) stands as one of the most revolutionary technologies of our era, reshaping industries and creating new frontiers in data analysis and automation. At the heart of this ...

You’ll need Node/NPM installed to start. Then you can create a new directory and run npm init, and accept the defaults. Next, install TensorFlow by entering npm i ...

Voice recognition is a complex problem across a number of industries. Knowing some of the basics around handling audio data and how to classify sound samples is a good thing to have in your data ...

The understanding of human and non-human microstructural brain alterations in the course of neurodegenerative diseases has substantially improved by the non-invasive magnetic resonance imaging (MRI) ...

The stress state in the volume of contacting bodies may essentially influence the material behavior. For evaluating various modes of inelastic behavior and/or failure, such as plastic deformation, ...