Develop vital data science, AI and machine learning skills through interactive live sessions and real world case studies and ...

Arnab Kar is a founding member of Data Science and Machine Learning considered the new generation of professors; his academic ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature ...

Game On: The AAA-talent behind indie game 'Hawthorn' ...

A CNN-based image classifier built with PyTorch and FastAPI. Features model training, evaluation metrics, visualizations, and a web interface for real-time predictions. Includes comprehensive ...

We propose deep learning based on a convolutional neural network (CNN) algorithm for classification of footstep sound events. The study includes two consecutive stages: ReaLISED dataset and refined ...

Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.

[JMLR (CCF-A)] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evolutionary algorithms, swarm-based randomized optimizers, ...