Mobile apps now offer practical ways to learn data science, from coding and statistics to machine learning, anytime and anywhere.Tools like QPyth ...

Confused by neural networks? Break it down step-by-step as we walk through forward propagation using Python—perfect for ...

Build your first neural network step by step! Learn how a perceptron works by coding it from the ground up—no libraries, just Python.

Abstract: In this paper, we propose a novel human crowd detection method that uses deep convolutional neural networks for drone flight safety purposes. The first contribution of this paper is to ...

Abstract: We propose Quadruplet Convolutional Neural Networks (Quad-CNN) for multi-object tracking, which learn to associate object detections across frames using quadruplet losses. The proposed ...

(2024-06-18) See documentation and tutorials for SFT, PEFT ... performance, and scalability. Python-Based Configuration - NeMo 2.0 transitions from YAML files to a Python-based configuration, ...

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The purpose of this project is not to produce as optimized and computationally efficient ...