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
Topology-aware Kubernetes scheduler for multi-tenant, heterogeneous clusters
tracebloc notebook to launch and manage experiments in collaboration
⌨️ Solutions to Academy Yandex "Тренировки по Machine Learning"
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.
Real-time training dashboard for OpenAI Parameter Golf challenge. Single-file, zero-config.
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.
MLflow adapter for CrateDB.
Propensity model training with XGBoost
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