Supercharge Your Model Training
MONeT framework for reducing memory consumption of DNN training
Collection of OSS models that are containerized into a serving container
MLflow adapter for CrateDB.
learning python day 4
Propensity model training with XGBoost
Train a simple text classifier and predict labels - supports ONNX output for performance, language-neutral
This is a desktop tool to create FSNS datasets. FSNS dataset could be used to train (CNN + seq2seq with visual attention) based OCR.
⌨️ Solutions to Academy Yandex "Тренировки по Machine Learning"
This project Implements the paper “Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces” using the Python language.
Template designed to kickstart your machine learning projects in Python
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