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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Updated
Jan 25, 2021 - Python
This is a desktop tool to create FSNS datasets. FSNS dataset could be used to train (CNN + seq2seq with visual attention) based OCR.
MONeT framework for reducing memory consumption of DNN training
This repository includes jupyter notebooks on CNN for learning or training purposes.
Integrating Aporia ML model monitoring into a Bodywork serving pipeline.
This project Implements the paper “Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces” using the Python language.
Collection of OSS models that are containerized into a serving container
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.
learning python day 4
Self-Hosted MLFlow Docker Image with MySQL and S3 support
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Template designed to kickstart your machine learning projects in Python
Propensity model training with XGBoost
⌨️ Solutions to Academy Yandex "Тренировки по Machine Learning"
Supercharge Your Model Training
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