python Overview of the Hopcroft-Karp Algorithm, Algorithm and Implementation Examples
Overview of the Hopcroft–Karp Algorithm
The Hopcroft–Karp algorithm is an efficient method for computing t...
python
python python Overview of TransGAN and examples of algorithms and implementations
Overview of TransGAN
TransGAN is the first generative adversarial network (GAN) in the world to be built enti...
python Overview of Siamese Networks, algorithms and implementation examples
Overview of Siamese Networks
A Siamese Network is a model architecture consisting of two (or more) identical ...
python Overview of ADASYN and examples of algorithms and implementations
Overview of ADASYN
ADASYN (Adaptive Synthetic Sampling), proposed by Haibo He et al. in 2008, is a data-...
python Overview of Option Pricing and Examples of Algorithms and Implementations
Option Pricing
Option Pricing refers to a set of theoretical methods used to calculate the fair value...
python Sharpley Value and its application
Shapley Value
The Shapley value is a concept proposed in 1953 by Lloyd Shapley. It is a theory from cooperat...
python Overview of Memory-Augmented Models algorithms and implementation examples
Overview of Memory-Augmented Models (MAMs)
Memory-Augmented Models (MAMs) are a class of neural netwo...
python Network design and GNNs specific to sparse asymmetry
Network Design for Asymmetric Sparsity and Density
Designing networks specifically for asymmetric sparsity...
python Overview of Iterative Optimization Algorithms and Examples of Implementations
Overview of Iterative Optimization Algorithms
Iterative optimization algorithms are an approach that iterativel...
python Overview of One-Shot Learning, Algorithm and Implementation Examples
Overview
One-shot learning is a learning approach designed for situations where only one training exa...