aigerimhatake Goto Github PK
Name: Aigerim
Type: User
Bio: MSc in Applied Mathematics
Location: Astana,Kazakhstan
Name: Aigerim
Type: User
Bio: MSc in Applied Mathematics
Location: Astana,Kazakhstan
Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting
Open source code from the blog posts at
Predicting customer churn with logistic regression by applying Synthetic Minority Oversampling Technique and Recursive Feature Elimination
Create and analyze customer segments with k-means clustering
k-means clustering, XGBClassifier and Gradient Boosting for customer segmentation and acquisition
quantum experiments using D-Wave
Implementation of the "Deep Matrix Factorization Models for Recommender Systems"
An open source library for deep learning end-to-end dialog systems and chatbots.
A collection of dwave utilities
Determine where to place new charging stations on a map based on locations of existing charging stations and points of interest.
Repository linked to TFG: Gap analysis for an adiabatic approach to the Exact Cover Problem. Sergi Ramos Calderer, Universitat de Barcelona
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.
Fourier Neural Networks
Repository for storing the notebook for gradient descent in the context of linear regression.
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
Random Forest classifier and SHAP: How to understand your customers and interpret a black box model?
Optimize the initial line-up of Liverpool FC using the LeapHybridSampler.
Codes, notes and guides on Udacity's machine learning nanodegree.
Implementation of the Matrix Factorization Recommender System from the Netflix Paper
deep learning project
comparing stand up comedians using natural language processing
numerical_computing_qubo
Utilities and interfaces for using penalty models.
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
practicing pennylane software
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.