Open standard for machine learning interoperability

A stand-alone implementation of several NumPy dtype extensions used in machine learning.

Claude Code-based deep search skill

Create a pull request review based on clang-tidy warnings

A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.

Measure and optimize the energy consumption of your AI applications!

Heterogeneous GPU Sharing on Kubernetes

Pythonic framework for building ONNX graphs

🏕️ Reproducible development environment for humans and agents

A python library to visualize onnx model in a more effecient way

A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web

Your one stop CLI for ONNX model analysis.

A conda-smithy repository for onnx.

OpenTelemetry Python API and SDK

Dump the license list of packages installed with pip.

Lockheed Martin developed utility to generate CycloneDX SBOMs for Linux distributions

Allow test gRPC with pytest

A collaboration friendly studio for NeRFs

🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

Open standard for machine learning interoperability

An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

A ready-to-run Docker container setup to quickly provide MLflow as a service, with PostgreSQL, AWS S3, and NGINX

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Layers Outputs and Gradients in Keras. Made easy.

Image augmentation for machine learning experiments.

Low-code framework for building custom LLMs, neural networks, and other AI models