Supercharge Your Model Training
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Updated
Sep 3, 2025 - Python
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.
β¨οΈ Solutions to Academy Yandex "Π’ΡΠ΅Π½ΠΈΡΠΎΠ²ΠΊΠΈ ΠΏΠΎ Machine Learning"
Smart Script to Mass Convert PDF .pdf to Markdown .md
Propensity model training with XGBoost
Self-Hosted MLFlow Docker Image with MySQL and S3 support
MLflow adapter for CrateDB.
learning python day 4
Train a simple text classifier and predict labels - supports ONNX output for performance, language-neutral
This repository includes jupyter notebooks on CNN for learning or training purposes.
This project Implements the paper βCausal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spacesβ using the Python language.
tracebloc notebook to launch and manage experiments in collaboration
Submission of Project
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
Trainings-pipeline to create a model to digitalising a chess scoresheet
Proyecto en el que aplicamos y entrenamos varios modelos de Machine Learning de aprendizaje supervisado de regresiΓ³n. Y evaluaremos cuΓ‘l de ellos se adapta mejor a las necesidades de nuestro cliente.
Sample edition of The Stack Enriched: annotated, secure, and optimized code dataset, this is a sample version
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