* [Label Studio 1.23.0](https://github.com/HumanSignal/label-studio) – Multi-type data labeling and annotation tool with a straightforward UI.

* [Netron v8.9.2](https://github.com/lutzroeder/netron) – Viewer for neural network, deep learning, and machine learning models.

* [StemRoller 3.1.0](https://github.com/stemrollerapp/stemroller) – Tool for separating vocal and instrumental stems from any song with a single click.

* [Cog v0.16.12](https://github.com/replicate/cog) – Tool for packaging machine learning models in production-ready containers.

* [DeePMD-kit v3.1.3](https://github.com/deepmodeling/deepmd-kit) – Deep learning package for many-body potential energy representation and molecular dynamics.

* [WebLLM v0.2.82](https://github.com/mlc-ai/web-llm) – High-performance in-browser LLM inference engine using WebGPU for hardware-accelerated, serverless model inference.

* [pg_onnx v1.24.4](https://github.com/kibae/pg_onnx) – ONNX Runtime integration enabling machine learning inference within PostgreSQL databases.

* [DeepCamera v2026.3](https://github.com/SharpAI/DeepCamera) – Platform providing local VLM-based video analysis, object detection, person re-identification, and agentic camera monitoring.

* [Machine Learning Systems tinytorch-v0.1.9](https://github.com/harvard-edge/cs249r_book) – Textbook providing a systems-level understanding of designing and building scalable, modular, and maintainable machine learning systems.