Tasks for Architecture of Neural Networks Course @ ITMO University
Tasks for Architecture of Neural Networks Course at ITMO University
Neural Network Prototyping library with reactive interface and export code features
Transformers-based Neural Network harbor logistic prediction model
Neural Network Architecture definition files
Master's project: Using Machine Learning for Potential Energy Landscapes
Participants in this Specialization have the opportunity to construct and train various neural network architectures, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Transformers. They learn to enhance these networks with techniques such as Dropout, BatchNorm, Xavier/He initialization, among others.
Programming Assignments completed under first Course of Deep Learning Specialisation(Coursera)
A small collection of basic neural networks for different tasks using pytorch.
The project implements Siamese Network with Triplet Loss in Keras to learn meaningful image representations in a lower-dimensional space. By training on the MNIST dataset, it creates a powerful architecture and implements Triplet Loss function. The resulting model enables applications like image search, recommendation systems, and image clustering.
Many Neural Network architectures are there. Basically Keras applications. You can find here the structures, implementations all you need. Have fun!
Proyecto individual sobre los fundamentos matemáticos de las redes neuronales. Desarrollado durante los cursos propedéuticos de admisión a la Maestría en Ciencias de Datos de la Universidad de Sonora.
A multi task neural network implemented from scratch, performing object detection with SSD and semantic segmentation with DeeplabV3+ simultaneosly!
A Keras implementation of the ConvMixer architecture from the paper "Patches are all you need?", built from scratch using TensorFlow and Python.
Improving Prediction of Daily Visits of Wikipedia Mathematics Topics using Graph Neural Networks
Neural Network Architcture | ISI Kolkata
A Keras implementation of the MobileViT architectures, built from scratch using TensorFlow and Python.
Public repository of our work in the search for an optimal multi-view crop classifier (considering encoder architectures and fusion strategies)
Unofficial code with the paper "On the Role of Text Preprocessing in Neural Network Architectures" for IMDb dataset.
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