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.
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
Propensity model training with XGBoost
MLflow adapter for CrateDB.
learning python day 4
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.
Trainings-pipeline to create a model to digitalising a chess scoresheet
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
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.
Add a description, image, and links to the ml-training topic page so that developers can more easily learn about it.
To associate your repository with the ml-training topic, visit your repo's landing page and select "manage topics."