Search Results for "gpu mechine learning"

...It has become a staple tool in the creative-coding community, lowering the barrier to entry for shader art and GPU programming.

Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new...

Graphics Workshop is an educational computer graphics repository built around writing GPU shaders. It teaches graphics concepts through interactive two-dimensional and three-dimensional browser projects. The workshop covers topics such as fragment shaders, procedural textures, rasterization, lighting, stylized rendering, and real-time ray tracing. It is designed so learners can focus on shader code while the surrounding WebGL and JavaScript harness is already provided. Projects are meant to...

CrypTen is a research framework developed by Facebook Research for privacy-preserving machine learning built directly on top of PyTorch. It provides a secure and intuitive environment for performing computations on encrypted data using Secure Multiparty Computation (SMPC). Designed to make secure computation accessible to machine learning practitioners, CrypTen introduces a CrypTensor object that behaves like a regular PyTorch tensor, allowing users to seamlessly apply automatic...

...By standardizing names and behaviors, it helps teams keep motion design consistent across a product while remaining easy to theme. The library doubled as a learning resource during the rise of CSS animations, showing how to achieve polished interactions without heavy JavaScript.

Run Keras models in the browser, with GPU support provided by WebGL 2. Models can be run in Node.js as well, but only in CPU mode. Because Keras abstracts away a number of frameworks as backends, the models can be trained in any backend, including TensorFlow, CNTK, etc. Check out the demos/ directory for real examples running Keras.js in VueJS. Library version compatibility, Keras 2.1.2.