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

⌨️ Solutions to Academy Yandex "Тренировки по Machine Learning"

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

Trainings-pipeline to create a model to digitalising a chess scoresheet

Submission of Project

Sample edition of The Stack Enriched: annotated, secure, and optimized code dataset, this is a sample version

tracebloc notebook to launch and manage experiments in collaboration

Template designed to kickstart your machine learning projects in Python

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.

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

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

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