N

neural-network

PyTorch model profiler for computing MACs and parameter counts to measure deep learning model complexity.

GitHub: https://github.com/ultralytics/thop

https://pypi.org/project/ultralytics-thop/

An experimental neural network library.

PyTorch sandbox for testing convolutional networks, ResNets, and other architectures on MNIST digits.

GitHub: https://github.com/ultralytics/mnist

https://ultralytics.com

Axiomata is a constraint-driven neuro-symbolic geometry engine that transforms formal geometric systems into a generative space for structured creativity. By combining deterministic symbolic reasoning with neural construction proposal models, it explores, validates, and evolves geometric worlds through verifiable transformations. The system is designed to bridge logic and intuition, enabling the discovery of novel geometric structures within strictly defined formal constraints. https://roxanneardary.com/axiomata/

attempt to make a ML framework in C

Example showing the use of a pretrained classification network together with an EdgeMatcher to inspect multiple image regions. See also the available tutorials on the SICK support portal. Topics: #algorithm #image-2d #machine-learning #deep-learning #neural-network #sample #sick-appspace #edgematcher #locator #matching

Example showing the use of a pretrained classification network. See also the available tutorials on the SICK support portal. Topics: #algorithm #image-2d #machine-learning #deep-learning #neural-network #sample #sick-appspace

Internet marketing executive, internet service connection provider, publishing corporation, Digital adults publishing, Digital marketing and advertising industry, Digital media podcast broadcasting streaming games development business developer business Ownership Digital analytics program, IPV6 IPV4, LOCAL NET, INTERNET MARKETING FIR, SEPTEMBER, SEO AGENCY, SERP MASTER, SOCIAL MEDIA NETWORK, SOFTWARE DEVELOPMENT

An Active Learning framework for Drug Discovery with the ability to create targeted models for particular experiments

Test project for neural networks - Handwritten digit recognition on MNIST dataset

In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data using a Convolutional Neural Network tailored for EEG named EEGNet.

Library for MQL5 (MetaTrader) with Python, Java, Apache Spark, AWS https://roffild.com/

درس شبکه عصبی نیمسال دوم ۹۷ در دانشگاه صنعتی اصفهان

Neural network for object classification

Computer vision object classifier for Android

Cat facial detection and landmark recognition in Python