Repository Index

The fastest path to AI-powered full stack observability, even for lean teams.

• monitoring
• docker
• kubernetes
• cncf

Instant Kubernetes-Native Application Observability

• golang
• kubernetes
• ebpf
• vega

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

• pytorch
• neural-network
• python
• machine-learning

Debugging, monitoring and visualization for Python Machine Learning and Data Science

• ai
• deep-learning
• deeplearning
• machine-learning

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

• ai
• fairness-ai
• fairness
• fairness-testing

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

• data-science
• python
• dag
• data-engineering

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

• computer-vision
• machine-learning
• robotics
• tracking

Maze Applied Reinforcement Learning Framework

• reinforcement-learning
• python
• machine-learning
• simulation

Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.

• beginner-friendly
• beginner-project
• deep-learning
• deep-neural-networks