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Name: Tamas Badics
Type: User
Location: Budapest
Name: Tamas Badics
Type: User
Location: Budapest
Teaching material for the mathematical foundations of theoretical economics
An implementation of the Deep Knowledge Tracing (DKT) with Tensorflow 2.0
Source code and data sets for Going Deeper with Deep Knowledge Tracing (EDM-2016)
It is the DKT+ model implemented in python3 and tensorflow1.2
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
source code for the paper Deep Knowledge Tracing
Deep Neural Decision Trees
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
not for professional use, these files are only exercises for building trees using recursion.
This is a project to auto-deploy with an ML payload
This is a repo for building out Github Actions and Tricks
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Notebooks and code for the book "Introduction to Machine Learning with Python"
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Bonus materials, exercises, and example projects for our Python tutorials
Maven: By Example
Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
A little benchmark comparing Pandas data frames serialization formats
Financial Simulator of Mobile Money Service
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
Python code and documents
Python Data Science Handbook: full text in Jupyter Notebooks
a simple pytorch implemention of paper A Self-Attentive model for Knowledge Tracing
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.