aigerimhatake Goto Github PK

amaw-pinn

Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting

amusive-blogging-n-coding

Open source code from the blog posts at

churn_prediction_using_logistic_regression

Predicting customer churn with logistic regression by applying Synthetic Minority Oversampling Technique and Recursive Feature Elimination

complex-valued-nns

customer_segmentation

Create and analyze customer segments with k-means clustering

customer_segmentation_arvato

k-means clustering, XGBClassifier and Gradient Boosting for customer segmentation and acquisition

d-wave

quantum experiments using D-Wave

deep_matrix_factorization_models

Implementation of the "Deep Matrix Factorization Models for Recommender Systems"

deeppavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

dwaveutils

A collection of dwave utilities

ev-charger-placement

Determine where to place new charging stations on a map based on locations of existing charging stations and points of interest.

exact_cover_gap_analysis

Repository linked to TFG: Gap analysis for an adiabatic approach to the Exact Cover Problem. Sergi Ramos Calderer, Universitat de Barcelona

expressive_power_of_quantum_models

This repository contains the source code necessary to reproduce the figures and simulation results of the url[paper](XXX) "The effect of data encoding on the expressive power of variational quantum machine learning models" by Maria Schuld, Ryan Sweke and Johannes Jakob Meyer.

fnn

Fourier Neural Networks

gradient-descent-notebook

Repository for storing the notebook for gradient descent in the context of linear regression.

idrlnet

IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

interpret_random_forest_classifier_using_shap

Random Forest classifier and SHAP: How to understand your customers and interpret a black box model?

line-up-optimization

Optimize the initial line-up of Liverpool FC using the LeapHybridSampler.

machine-learning-nanodegree

Codes, notes and guides on Udacity's machine learning nanodegree.

matrix-factorization-in-python

matrix-factorization-recommender-systems-netflix-paper-implementation

Implementation of the Matrix Factorization Recommender System from the Netflix Paper

movie-recommender-system

deep learning project

msc-thesis

multiscalepinns

nlp-in-python-tutorial

comparing stand up comedians using natural language processing

numerical_quantum_computing

numerical_computing_qubo

optimally-weighted-pinns

penaltymodel

Utilities and interfaces for using penalty models.

pennylane

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

pennylane-myexamples

practicing pennylane software