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.
Propensity model training with XGBoost
Self-Hosted MLFlow Docker Image with MySQL and S3 support
learning python day 4
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.
⌨️ Solutions to Academy Yandex "Тренировки по Machine Learning"
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.
Train a simple text classifier and predict labels - supports ONNX output for performance, language-neutral
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