The PyTorch Ecosystem Working Group added 10 open-source projects to its Ecosystem Landscape1. New entries include Perforated, a data-efficiency library that applies neuron-specific reinforcement learning signals during backpropagation; AReaL, a fully asynchronous RL infrastructure for LLM/VLM-based agents; TorchJD for multi-loss training via Jacobian Descent; TokenSpeed, an inference engine separating control and execution planes; and TorchSurv, a survival-analysis toolkit included in the FDA's Regulatory Science Tools Catalog. RLinf, Miles, SMG, FiftyOne, and VisualTorch round out the cohort.
PyTorch Ecosystem Adds 10 Projects Spanning RL, Inference, Survival Analysis
The PyTorch Ecosystem Working Group added 10 projects including Perforated, AReaL, TorchJD, TokenSpeed, and FDA-cataloged TorchSurv to its Ecosystem…
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