73 Repositories
Python discrete-mathematics Libraries
This repository contains implementations of all Machine Learning Algorithms from scratch in Python. Mathematics required for ML and many projects have also been included.
👏 Pre- requisites to Machine Learning
A library built upon PyTorch for building embeddings on discrete event sequences using self-supervision
pytorch-lifestream a library built upon PyTorch for building embeddings on discrete event sequences using self-supervision. It can process terabyte-si
Bootcamp de Introducción a la Programación. Módulo 6: Matemáticas Discretas
Módulo 6: Matemáticas Discretas Última actualización: 12 de marzo Irónicamente, las matemáticas discretas son las matemáticas que lo cuentan todo. Si
Resources complimenting the Machine Learning Course led in the Faculty of mathematics and informatics part of Sofia University.
Machine Learning and Data Mining, Summer 2021-2022 How to learn data science and machine learning? Programming. Learn Python. Basic Statistics. Take a
Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP
Stat4ML Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP This is the first course from our trio courses: Statistics Foundatio
GLODISMO: Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery
GLODISMO: Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery This is the code to the paper: Gradient-Based Learn
A sage package for working with circular genomes represented by signed or unsigned permutations
Circular genome tools (cgt) A sage package for working with circular genomes represented by signed or unsigned permutations. It includes tools for con
Loopy belief propagation for factor graphs on discrete variables, in JAX!
PGMax implements general factor graphs for discrete probabilistic graphical models (PGMs), and hardware-accelerated differentiable loopy belief propagation (LBP) in JAX.
FLIght SCheduling OPTimization - a simple optimization library for flight scheduling and related problems in the discrete domain
Fliscopt FLIght SCheduling OPTimization 🛫 or fliscopt is a simple optimization library for flight scheduling and related problems in the discrete dom
LinkScope allows you to perform online investigations by representing information as discrete pieces of data, called Entities.
LinkScope Client Description This is the repository for the LinkScope Client Online Investigation software. LinkScope allows you to perform online inv
Implementation of the method described in the Speech Resynthesis from Discrete Disentangled Self-Supervised Representations.
Speech Resynthesis from Discrete Disentangled Self-Supervised Representations Implementation of the method described in the Speech Resynthesis from Di
En- and decrypting text-messages by creating a key with of the fibonacci-sequence
En- and decrypting text-messages by creating a key with of the fibonacci-sequence. This key helps to create mathematical functions, whose zeros should generates the encrypted message.
Generative Flow Networks for Discrete Probabilistic Modeling
Energy-based GFlowNets Code for Generative Flow Networks for Discrete Probabilistic Modeling by Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Vo
Drslmarkov - Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks
Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks
Projecting interval uncertainty through the discrete Fourier transform
Projecting interval uncertainty through the discrete Fourier transform This repo
Curvipy - The Python package for visualizing curves and linear transformations in a super simple way
Curvipy - The Python package for visualizing curves and linear transformations in a super simple way
Modelling the 30 salamander problem from `Pure Mathematics` by Martin Liebeck
Salamanders on an island The Problem From A Concise Introduction to Pure Mathematics By Martin Liebeck Critic Ivor Smallbrain is watching the horror m
Problem 5: Fermat near-misses
Problem 5: Fermat near-misses fermatnearmiss This is a script that computes fermat nearm misses when the -f option is set and requires users to input
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
HackerMath for Machine Learning “Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.” ― Richard
Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Mish: Self Regularized Non-Monotonic Activation Function BMVC 2020 (Official Paper) Notes: (Click to expand) A considerably faster version based on CU
Deep-Learning-Book-Chapter-Summaries - Attempting to make the Deep Learning Book easier to understand.
Deep-Learning-Book-Chapter-Summaries This repository provides a summary for each chapter of the Deep Learning book by Ian Goodfellow, Yoshua Bengio an
Awesome-AI-books - Some awesome AI related books and pdfs for learning and downloading
Awesome AI books Some awesome AI related books and pdfs for downloading and learning. Preface This repo only used for learning, do not use in business
The Master's in Data Science Program run by the Faculty of Mathematics and Information Science
The Master's in Data Science Program run by the Faculty of Mathematics and Information Science is among the first European programs in Data Science and is fully focused on data engineering and data analytics.
Notebooks for computing approximations to the prime counting function using Riemann's formula.
Notebooks for computing approximations to the prime counting function using Riemann's formula.
This Jupyter notebook shows one way to implement a simple first-order low-pass filter on sampled data in discrete time.
How to Implement a First-Order Low-Pass Filter in Discrete Time We often teach or learn about filters in continuous time, but then need to implement t
Finite difference solution of 2D Poisson equation. Can handle Dirichlet, Neumann and mixed boundary conditions.
Poisson-solver-2D Finite difference solution of 2D Poisson equation Current version can handle Dirichlet, Neumann, and mixed (combination of Dirichlet
A Python library for working with arbitrary-dimension hypercomplex numbers following the Cayley-Dickson construction of algebras.
Hypercomplex A Python library for working with quaternions, octonions, sedenions, and beyond following the Cayley-Dickson construction of hypercomplex
Implementation of an attack on a tropical algebra discrete logarithm based protocol
Implementation of an attack on a tropical algebra discrete logarithm based protocol This code implements the attack detailed in the paper: On the trop
salabim - discrete event simulation in Python
Object oriented discrete event simulation and animation in Python. Includes process control features, resources, queues, monitors. statistical distrib
Extract continuous and discrete relaxation spectra from G(t)
pyReSpect-time Extract continuous and discrete relaxation spectra from stress relaxation modulus G(t). The papers which describe the method and test c
A tool to plot and execute Rossmos's Formula, that helps to catch serial criminals using mathematics
Rossmo Plotter A tool to plot and execute Rossmos's Formula using python, that helps to catch serial criminals using mathematics Author: Amlan Saha Ku
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
About The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficien
Conjugated Discrete Distributions for Distributional Reinforcement Learning (C2D)
Conjugated Discrete Distributions for Distributional Reinforcement Learning (C2D) Code & Data Appendix for Conjugated Discrete Distributions for Distr
A module filled with many useful functions and modules in various subjects.
Usefulpy Check out the Usefulpy site Usefulpy site is not always up to date Download and Import download and install with with pip download usefulpyth
Simple, high-school-leveled sequence library written in Python / 간단한 고등학교 수준 수열 라이브러리 (Python)
Simple, high-school-leveled sequence library written in Python
Advancing mathematics by guiding human intuition with AI
Advancing mathematics by guiding human intuition with AI This repo contains two colab notebooks which accompany the paper, available online at https:/
Python toolkit for defining+simulating+visualizing+analyzing attractors, dynamical systems, iterated function systems, roulette curves, and more
Attractors A small module that provides functions and classes for very efficient simulation and rendering of iterated function systems; dynamical syst
Codebase for testing whether hidden states of neural networks encode discrete structures.
structural-probes Codebase for testing whether hidden states of neural networks encode discrete structures. Based on the paper A Structural Probe for
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized C
Repository for paper "Non-intrusive speech intelligibility prediction from discrete latent representations"
Non-Intrusive Speech Intelligibility Prediction from Discrete Latent Representations Official repository for paper "Non-Intrusive Speech Intelligibili
Efficient semidefinite bounds for multi-label discrete graphical models.
Low rank solvers #################################### benchmark/ : folder with the random instances used in the paper. ############################
Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric
PyEMD: Fast EMD for Python PyEMD is a Python wrapper for Ofir Pele and Michael Werman's implementation of the Earth Mover's Distance that allows it to
Create beautiful diagrams just by typing mathematical notation in plain text.
Penrose Penrose is an early-stage system that is still in development. Our system is not ready for contributions or public use yet, but hopefully will
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
Awesome Streamlit The fastest way to build Awesome Tools and Apps! Powered by Python! The purpose of this project is to share knowledge on how Awesome
Collection of scripts for making high quality beautiful math-related posters.
Poster Collection of scripts for making high quality beautiful math-related posters. The poster can have as large printing size as 3x2 square feet wit
ARAE-Tensorflow for Discrete Sequences (Adversarially Regularized Autoencoder)
ARAE Tensorflow Code Code for the paper Adversarially Regularized Autoencoders for Generating Discrete Structures by Zhao, Kim, Zhang, Rush and LeCun
A comparison of mesh generators.
This repository creates meshes of the same domains with multiple mesh generators and compares the results.
A python mathematics module
A python mathematics module
Code for the Paper: Alexandra Lindt and Emiel Hoogeboom.
Discrete Denoising Flows This repository contains the code for the experiments presented in the paper Discrete Denoising Flows [1]. To give a short ov
Small project to recursively calculate and plot each successive order of the Hilbert Curve
hilbert-curve Small project to recursively calculate and plot each successive order of the Hilbert Curve. After watching 3Blue1Brown's video on Hilber
Auto HMM: Automatic Discrete and Continous HMM including Model selection
Auto HMM: Automatic Discrete and Continous HMM including Model selection
Perturb-and-max-product: Sampling and learning in discrete energy-based models
Perturb-and-max-product: Sampling and learning in discrete energy-based models This repo contains code for reproducing the results in the paper Pertur
Agent-based model simulator for air quality and pandemic risk assessment in architectural spaces
Agent-based model simulation for air quality and pandemic risk assessment in architectural spaces. User Guide archABM is a fast and open source agent-
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
torch-imle Concise and self-contained PyTorch library implementing the I-MLE gradient estimator proposed in our NeurIPS 2021 paper Implicit MLE: Backp
A python mathematics module
A python mathematics module
VHDL to Discrete Logic on PCB Flow
PCBFlow Highly experimental set of scripts to transform a digital circuit described in a hardware description language (VHDL or Verilog) into a discre
This is a python package that turns any images into MIDI files that views the same as them
image_to_midi This is a python package that turns any images into MIDI files that views the same as them. This package firstly convert the image to AS
PyTorch implementation of Munchausen Reinforcement Learning based on DQN and SAC. Handles discrete and continuous action spaces
Exploring Munchausen Reinforcement Learning This is the project repository of my team in the "Advanced Deep Learning for Robotics" course at TUM. Our
A curated list of awesome mathematics resources
A curated list of awesome mathematics resources
An official reimplementation of the method described in the INTERSPEECH 2021 paper - Speech Resynthesis from Discrete Disentangled Self-Supervised Representations.
Speech Resynthesis from Discrete Disentangled Self-Supervised Representations Implementation of the method described in the Speech Resynthesis from Di
CalcuPy 📚 Create console-based calculators in a few lines of code.
CalcuPy 📚 Create console-based calculators in a few lines of code. 📌 Installation pip install calcupy 📌 Usage from calcupy import Calculator calc
Huggingface package for the discrete VAE used for DALL-E.
DALL-E-Tokenizer Huggingface package for the discrete VAE used for DALL-E.
This is 2nd term discrete maths project done by UCU students that uses backtracking to solve various problems.
Backtracking Project Sponsors This is a project made by UCU students: Olha Liuba - crossword solver implementation Hanna Yershova - sudoku solver impl
a simple proof system I made to learn math without any mistakes
math_up a simple proof system I made to learn math without any mistakes 0. Short Introduction test yourself, enjoy your math! math_up is an NBG-based,
Explore related sequences in the OEIS
OEIS explorer This is a tool for exploring two different kinds of relationships between sequences in the OEIS: mentions (links) of other sequences on
Official codes for the paper "Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech"
ResDAVEnet-VQ Official PyTorch implementation of Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech What is in this repo? M
DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation
DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation This project hosts the code for implementing the DCT-MASK algorithms
A research toolkit for particle swarm optimization in Python
PySwarms is an extensible research toolkit for particle swarm optimization (PSO) in Python. It is intended for swarm intelligence researchers, practit
🎯 A comprehensive gradient-free optimization framework written in Python
Solid is a Python framework for gradient-free optimization. It contains basic versions of many of the most common optimization algorithms that do not
CoCalc: Collaborative Calculation in the Cloud
logo CoCalc Collaborative Calculation and Data Science CoCalc is a virtual online workspace for calculations, research, collaboration and authoring do
PyTorch package for the discrete VAE used for DALL·E.
Overview [Blog] [Paper] [Model Card] [Usage] This is the official PyTorch package for the discrete VAE used for DALL·E. Installation Before running th
Multi-class confusion matrix library in Python
Table of contents Overview Installation Usage Document Try PyCM in Your Browser Issues & Bug Reports Todo Outputs Dependencies Contribution References
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 ;)
Bayesian Methods for Hackers Using Python and PyMC The Bayesian method is the natural approach to inference, yet it is hidden from readers behind chap