* [RAGFlow v0.27.0](https://github.com/infiniflow/ragflow) – RAG engine combining large language models with document understanding for accurate question answering and citation.

* [FiftyOne v1.21.0](https://github.com/voxel51/fiftyone) – FiftyOne is a tool for visualizing and labeling datasets, evaluating computer vision models, and improving data and model quality.

* [DeePMD-kit v3.2.0](https://github.com/deepmodeling/deepmd-kit) – Deep learning package for many-body potential energy representation and molecular dynamics.

* [Netron v9.2.2](https://github.com/lutzroeder/netron) – Viewer for neural network, deep learning, and machine learning models.

* [Cog v0.22.0](https://github.com/replicate/cog) – Tool for packaging machine learning models in production-ready containers.

* [tensai v0.0.10](https://github.com/mattn/tensai) – Tiny machine-learning framework for Go, implementing forward passes, backpropagation, and optimization with optional SIMD and WebGPU acceleration.

* [go-tflite v1.0.7](https://github.com/mattn/go-tflite) – Go binding for TensorFlow Lite, providing model loading, interpreter setup, and tensor input/output access with optional Edge TPU support.