Convert a PyTorch model and train it in JavaScript in your browser using ONNX Runtime Web ... If you don't already have PyTorch installed, see pytorch.org for how to install it on your system. ...

The main feature present in this tool is to correlate NVIDIA NSight Compute profiled low-level kernels (e.g. volta_sgemm_XXXX) with PyTorch high-level operations (e.g. torch.bmm). The tool assumes ...

Lernen Sie sechs innovative Möglichkeiten zur Visualisierung von Deep-Learning-Modellen mit Tools wie Keras, PyTorch, Transformers, Grad-CAM, TensorFlow und Pandas kennen.

Using these combined optimizations on PyTorch nightly builds, the IBM researchers were able to achieve inference speeds of 29 milliseconds per token on a 100 GPU system for a large language model ...

Deep learning compiler becomes necessary with the active research on AI hardware. This work compiles PyTorch models into target hardware codes using MLIR framework. The compiler first constructs a ...

Model Explorer aims to overcome these challenges by introducing a novel graph visualization solution specifically designed to handle large models smoothly and provide hierarchical information in an ...

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...