Machine Learning Operations (MLOps) pipeline for my stock prediction forecast model
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Updated
Feb 16, 2025 - Python
Machine Learning Operations (MLOps) pipeline for my stock prediction forecast model
Machine learning pipeline for IMDB movie review sentiment analysis using Logistic Regression, FastAPI, and Docker. Track experiments with Neptune.ai and explore an interactive web interface. 🚀
Packaged version of ultralytics/yolov5 + many extra features
pip install the deep learning & HPC starter pack to begin your project.
Python package customizing nested cross validation for tabular data.
This initiative leverages cutting-edge machine learning technique such as Mask R-CNN to automate the identification of buildings in satellite images after disasters. Employing high-resolution Maxar imagery, our models efficiently and accurately pinpoint affected structures, enhancing the speed and effectiveness of emergency responses.
translating from English to French
Experiment tracking and model registry in the time series forecasting project
Project with tabular data versioned with Artifacts.
Tabular data experiment tracking with Neptune
Automated question generation and question answering from Turkish texts using text-to-text transformers
This is a demo project to compare two web scrapping frameworks, Playwright and Selenium and using the new Pipelining tool Dagster
Example project with PyTorch and Neptune.
Example project with scikit-learn and neptune.
Source code for project with tour-tf-keras.
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