Supercharge Your Model Training
AIStore: scalable storage for AI applications
New and extensible file format for storage of large columnar datasets.
54 rigorous skills for Codex, OpenCode, and Pi: code review, security audit, feature development, frontend design, MCP tools, Hugging Face ML/training, and more.
MONeT framework for reducing memory consumption of DNN training
GenAssist combines orchestration, runtime, analytics, and learning — in one open platform.
An MLOps workflow for training, inference, experiment tracking, model registry, and deployment.
Collection of OSS models that are containerized into a serving container
⌨️ Solutions to Academy Yandex "Тренировки по Machine Learning"
Agent workbench for auto research, self-improvement loops, and long-running work — multi-agent teams, persistent project memory, cross-machine GPU training. Developed entirely inside Cortex.
Topology-aware Kubernetes scheduler for multi-tenant, heterogeneous clusters
Beamline is a tool for fast data generation for your AI/LLM/ML model training, simulation, and testing use-cases. It generates reproducible pseudo-random data using a stochastic approach and probability distributions, meaning you can create realistic datasets that follow specific mathematical patterns.
Integrating Aporia ML model monitoring into a Bodywork serving pipeline.
Smart Script to Mass Convert PDF .pdf to Markdown .md
Self-Hosted MLFlow Docker Image with MySQL and S3 support
Material for the AI4Climate tutorial and hackathon event in South Africa
Create a memorized array of unlimited numbers from a small seed. The output can be tokenized and used in code to derive values. Useful for synthetic data, personalization, world building and more.
Claude Code skill for tight-loop SageMaker training iteration using managed warm pools
MLflow adapter for CrateDB.
learning python day 4
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