The fastest path to AI-powered full stack observability, even for lean teams.
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Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including Cloud, LLMs, WireGuard, Automation, Home Assistant, and Networking.
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.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
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
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Maze Applied Reinforcement Learning Framework
Demo app for learning observability with Grafana and performance testing with k6.
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