Source code for project with tour-tf-keras.
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Updated
Dec 14, 2020 - Python
Source code for project with tour-tf-keras.
Example project with scikit-learn and neptune.
Example project with PyTorch and Neptune.
This is a demo project to compare two web scrapping frameworks, Playwright and Selenium and using the new Pipelining tool Dagster
Automated question generation and question answering from Turkish texts using text-to-text transformers
Tabular data experiment tracking with Neptune
Project with tabular data versioned with Artifacts.
Experiment tracking and model registry in the time series forecasting project
translating from English to French
Implement CI/CD pipelines to train and deploy machine learning models using Github Actions
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.
Packaged version of ultralytics/yolov5 + many extra features
Python package customizing nested cross validation for tabular data.
pip install the deep learning & HPC starter pack to begin your project.
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