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Practical tasks on Deep Learning (DL) and Neural Networks (NN). 🤖

Image data classification of multilayer perceptron and convolutional neural networks made in Python.

Repository for lattice gauge equivariant convolutional neural networks

Neural networks and tensor library in golang

Neural Networks project, DU

Repository for lattice gauge equivariant convolutional neural networks

Neural Networks with Keras Cookbook, published by Packt

C++ version of http://neuralnetworksanddeeplearning.com/

Investigating PINNs

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

Internet-scale Neural Networks

Python package to quickly train feed-forward neural networks for supervised learning.

Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

The efficient alternative to Neural Networks. Implements SLRM (Segmented Linear Regression Model) for neural compression and non-linear data modeling, achieving high precision with a fraction of the parameters of a traditional ANN.

Repository for lattice gauge equivariant convolutional neural networks

This project aims to classify astronomical objects using data from the Sloan Digital Sky Survey (SDSS) and Convolutional Neural Networks (CNN). It leverages python and popular machine learning libraries to accurately classify galaxies, stars, and quasars based on their image and spectral data.

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.