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SciML, short for Scientific Machine Learning, encompasses work that merges quantitative sciences with machine learning.…

The most prominent distinction between LLaMA-1 and LLaMA-2 lies in the incorporation of higher-quality corpora,…

Struggling with quaternions, rotation vectors, right-hand rules and all these stuffs? Try RoMa: an easy-to-to-use,…

This article summarizes key features and concepts of torchdistill (v1.0.0). Refer to the official documentation…

We are excited to share our new open-source library PyPose. It is a PyTorch-based robotics-oriented…

Activation checkpointing is a technique used for reducing the memory footprint at the cost of…

Have you ever felt overwhelmed by the complexities of torch.compile? Diving into its workings can…

Machine Learning models thrive on high-quality, fully-annotated data. The traditional supervised learning approach typically requires…

Explore TorchOpt, a PyTorch-based library that revolutionizes differentiable optimization with its unified programming abstraction, high-performance…

The recent launch of PyTorch 2.0 makes it clear that the community is heavily investing…

Fashable is a company born at XNFY Lab (a joint initiative with Microsoft). The company’s…

As a new PyTorch Ecosystem Partner, we at HPC-AI Tech look forward to working with…

Suppose you have a very large PyTorch model, and you’ve already tried many common tricks…