ml-training

Supercharge Your Model Training

MONeT framework for reducing memory consumption of DNN training

Collection of OSS models that are containerized into a serving container

Integrating Aporia ML model monitoring into a Bodywork serving pipeline.

learning python day 4

Self-Hosted MLFlow Docker Image with MySQL and S3 support

MLflow adapter for CrateDB.

Propensity model training with XGBoost

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

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

This repository includes jupyter notebooks on CNN for learning or training purposes.

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

⌨️ Solutions to Academy Yandex "Тренировки по Machine Learning"

Proyecto en el que aplicamos y entrenamos varios modelos de Machine Learning de aprendizaje supervisado de regresión. Y evaluaremos cuál de ellos se adapta mejor a las necesidades de nuestro cliente.

Template designed to kickstart your machine learning projects in Python