Scans git repos, files, and stdin for hardcoded secrets such as passwords, API keys, and tokens.
Learn platform engineering by breaking and fixing real Kubernetes clusters.
Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s β in pure Python with async/await, also other languages (rust, go and ts)
π₯ A Lodash-style Go library based on Go 1.18+ Generics (map, filter, contains, find...)
A Cloud Native Batch System (Project under CNCF)
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
AIStore: scalable storage for AI applications
A Go (golang) library for parsing and verifying versions and version constraints.
Nvidia GPU exporter for prometheus using nvidia-smi binary OR using NVML
Caddy module to block or manipulate requests originating from AIs or cloud services trying to train on your websites
a web application performance improvement training
Crater is a cloud-native AI training & inference platform.
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
ShellGym - an Interactive Linux Command-Line Trainer
The Clash core builds on mihomo and is adapted to the constraints of Appleβs NetworkExtension framework. It processes traffic on your device, with performance tested on real hardware and the full source code open for review.
Secure, reproducible sandboxes for AI agent evaluation, training, and data synthesis.
Cloud-native AI infrastructure for teams to run, schedule, and monitor AI workloads on GPU-enabled Kubernetes clusters, from data preparation to distributed training, fine-tuning, and inference.
A sandbox service for running untrusted, agent-authored code that reports the isolation boundary each run executed behind. Lessons, no clone needed: https://plimsollmark.github.io/plimsoll/trainers/