You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Tool to simplify the collection of datasets from openml.org. Includes support for timeouts, filtering and local caching of files, and for running tests against multiple datasets. Allows both random and reproducible tests. Supports reading from cache when openml.org or the internet is unavailable. Multiprocessing is supported for faster compariso…
"SocialScope harnesses the power of data science to Instagram's vast content, providing insightful analytics and trend predictions for informed decision-making."
MLU is a modular ML toolkit resembling lodash, streamlining from data prep to deployment with chainable utility functions. It enhances ML workflows, seamlessly integrates with top frameworks, and supports efficient data handling and model evaluation. Open-source, MLU welcomes contributions to foster innovation and efficiency in the ML community.
Predict diabetes using machine learning models. Experiment with logistic regression, decision trees, and random forests to achieve accurate predictions based on health indicators. Complete lifecycle of ML project included.
A PyTorch project implementing neural style transfer using the VGG19 model, combining the content of one image with the style of another for artistic transformations.
Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, models hosted on Roboflow)
This model is a basic example of a feed-forward neural network (also known as a multi-layer perceptron) that could be used for binary classification problems.