How we made Python's packaging library 3x faster

Henry Schreiner and Damian Shaw significantly improved the performance of the Python packaging library by using new profiling tools to eliminate redundant regular expressions. The update delivers speed increases up to 5x for version filtering which helps resolve dependencies much faster within the Python ecosystem.

https://iscinumpy.dev/post/packaging-faster/

Supercharging LLMs: Scalable RL with torchforge and Weaver

PyTorch has introduced torchforge and Weaver, a new open-source stack designed to simplify and scale reinforcement learning for large language models across hundreds of GPUs. The system uses Weaver to provide reliable reward signals without human annotations, while torchforge provides the native primitives to manage complex distributed coordination and fault tolerance.

https://pytorch.org/blog/supercharging-llms-scalable-rl-with-torchforge-and-weaver/

rendercv / rendercv

CV/resume generator for academics and engineers, YAML to PDF

https://github.com/rendercv/rendercv