Supercharge Your Model Training
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Updated
Nov 5, 2024 - Python
Supercharge Your Model Training
⌨️ Solutions to Academy Yandex "Тренировки по Machine Learning"
Propensity model training with XGBoost
Template designed to kickstart your machine learning projects in Python
Train a simple text classifier and predict labels - supports ONNX output for performance, language-neutral
Self-Hosted MLFlow Docker Image with MySQL and S3 support
learning python day 4
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.
Collection of OSS models that are containerized into a serving container
This project Implements the paper “Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces” using the Python language.
Integrating Aporia ML model monitoring into a Bodywork serving pipeline.
This repository includes jupyter notebooks on CNN for learning or training purposes.
MONeT framework for reducing memory consumption of DNN training
This is a desktop tool to create FSNS datasets. FSNS dataset could be used to train (CNN + seq2seq with visual attention) based OCR.
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