Supercharge Your Model Training

AIStore: scalable storage for AI applications

MONeT framework for reducing memory consumption of DNN training

GenAssist combines orchestration, runtime, analytics, and learning — in one open platform.

Collection of OSS models that are containerized into a serving container

An MLOps workflow for training, inference, experiment tracking, model registry, and deployment.

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.

⌨️ Solutions to Academy Yandex "Тренировки по Machine Learning"

Smart Script to Mass Convert PDF .pdf to Markdown .md

Self-Hosted MLFlow Docker Image with MySQL and S3 support

learning python day 4

Propensity model training with XGBoost

Train a simple text classifier and predict labels - supports ONNX output for performance, language-neutral

A compact Python project implementing a Naive Bayes text classification pipeline for spam detection. Includes dataset utilities, multiple training scripts, joblib model artifacts, batch and interactive prediction interfaces, and a demo frontend.

MLflow adapter for CrateDB.

This is a desktop tool to create FSNS datasets. FSNS dataset could be used to train (CNN + seq2seq with visual attention) based OCR.

Template designed to kickstart your machine learning projects in Python

Submission of Project

This project Implements the paper “Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces” using the Python language.