We build a Gin Config controlled PyTorch pipeline where the training code stays fixed and the experiment variables move into .gin files. We construct a nonlinear spiral binary classification task and ...

LoRAX (LoRA eXchange) is a framework that allows users to serve thousands of fine-tuned models on a single GPU, dramatically reducing the cost of serving without compromising on throughput or latency.

Usually the cases have been derived from regular tutorial cases. After their first implementation they were only adapted to run in new OpenFOAM versions but improvements in the tutorials are usually ...