* [KServe v0.17.0](https://github.com/kserve/kserve) – Standardized distributed platform for scalable generative and predictive AI inference on Kubernetes.

* [Netron v8.9.5](https://github.com/lutzroeder/netron) – Viewer for neural network, deep learning, and machine learning models.

* [GoMLX v0.27.0](https://github.com/gomlx/gomlx) – An accelerated machine learning and math framework for Go supporting training, fine-tuning, and model experimentation.

* [BudouX v0.8.0](https://github.com/google/budoux) – Machine-learning-based line break organizer for multilingual text and HTML.

* [Yggdrasil Decision Forests pydf_0.16.0](https://github.com/google/yggdrasil-decision-forests) – Library for training, evaluating, interpreting, and serving decision forest models.

* [ONNX-GoMLX v0.4.0](https://github.com/gomlx/onnx-gomlx) – Converts ONNX models for accelerated Go-based ML with XLA, enabling inference, fine-tuning, and exportable weights.

* [go-huggingface v0.3.2](https://github.com/gomlx/go-huggingface) – Go APIs for downloading files and tokenizers and converting models from the HuggingFace Hub.

* [Cog v0.17.0-rc.2](https://github.com/replicate/cog) – Tool for packaging machine learning models in production-ready containers.