Conceptual-Sessions-Code by phitronio

We'll look into audio categorization using deep learning principles like Artificial Neural Networks (ANN), 1D Convolutional Neural Networks (CNN1D), and CNN2D in this repository. We undertake some basic data preprocessing and feature extraction on audio sources before developing models. As a result, the accuracy, training time, and prediction time of each model are compared. This is explained by model deployment, which allows users to load the desired sound output for each model that is successfully deployed, as will be addressed in more depth later. Maintained by abishek-as on GitHub, where it has earned 63 stars from the community.

Step-by-step tutorial to extract data, analyze, and decide on stocks in the market using Django, Celery, TimescaleDB, Jupyter, OpenAI, and more. Maintained by codingforentrepreneurs on GitHub, where it has earned 55 stars from the community.

Hands-On Python Deep Learning for Web by Anubhav Singh and Sayak Paul. Maintained by PacktPublishing on GitHub, where it has earned 79 stars from the community.