ml-training

#计算机科学#Supercharge Your Model Training

AIStore: scalable storage for AI applications

#计算机科学#MONeT framework for reducing memory consumption of DNN training

#计算机科学#Collection of OSS models that are containerized into a serving container

#计算机科学#Integrating Aporia ML model monitoring into a Bodywork serving pipeline.

#自然语言处理#⌨️ Solutions to Academy Yandex "Тренировки по Machine Learning"

#大语言模型#Smart Script to Mass Convert PDF .pdf to Markdown .md

Train a simple text classifier and predict labels - supports ONNX output for performance, language-neutral

#计算机科学#MLflow adapter for CrateDB.

#计算机科学#Propensity model training with XGBoost

#计算机科学#learning python day 4

Self-Hosted MLFlow Docker Image with MySQL and S3 support

#计算机科学#tracebloc notebook to launch and manage experiments in collaboration

#计算机科学#Sample edition of The Stack Enriched: annotated, secure, and optimized code dataset, this is a sample version

Submission of Project

This project Implements the paper “Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces” using the Python language.

Trainings-pipeline to create a model to digitalising a chess scoresheet

This repository includes jupyter notebooks on CNN for learning or training purposes.

#计算机科学#This is a desktop tool to create FSNS datasets. FSNS dataset could be used to train (CNN + seq2seq with visual attention) based OCR.

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.