Popular GitHub Repositories for Fxp Variables

Create richer and more beautiful pages in MkDocs, by using variables and calls to macros in the markdown code.

Loopy belief propagation for factor graphs on discrete variables in JAX

Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables"

Zumbra is a custom programming language built with its own parser, compiler, and virtual machine. It supports function definitions, scoped variables, custom operators, and more, all with a minimalist syntax and a playful soul.

Causing: CAUsal INterpretation using Graphs

Embed categorical variables via neural networks.

Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.

Samples using context variables and (system) entities in IBM Watson Assistant (formerly Conversation) service on IBM Cloud

Python package for calculating various information measures, including entropy, mutual information, transfer entropy, and more, with support for both discrete and continuous variables.

# Machine Learning (Coursera) This is my solution to all the programming assignments and quizzes of Machine-Learning (Coursera) taught by Andrew Ng. After completing this course you will get a broad idea of Machine learning algorithms. Try to solve all the assignments by yourself first, but if you get stuck somewhere then feel free to browse the code. ## Contents * Lectures Slides * Solution to programming assignment * Solution to Quizzes by Andrew Ng, Stanford University, [Coursera](https://www.coursera.org/learn/machine-learning/home/welcome) ### Week 1 - [X] Videos: Introduction - [X] Quiz: Introduction - [X] Videos: Linear Regression with One Variable - [X] Quiz: Linear Regression with One Variable ### Week 2 - [X] Videos: Linear Regression with Multiple Variables - [X] Quiz: Linear Regression with Multiple Variables - [X] Videos

Easily manage ChatGPT conversation variables

REGAIN (Regularised Graphical Inference)

Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity".

Generate an unlimited number of patterns made by vibrating surfaces (Chladni patterns) by solving the rectangular and polar wave equation via separation of variables and eigenvalues.

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.

Bayesian Optimization for Categorical and Continuous Inputs

A library for the hyperparameter optimization of deep neural networks

Many market analysts believe that predicting market’s stocks fluctuations is nearly impossible to achieve due to the number of variables involved, especially since many of these variables are based on irrational factors such as human sentiment. However, I developed a model that uses a combination of sentiment analysis, clustering and feed-forward neural network in order to predict the market trends.

AI that generates human faces which have never been seen before. The future is now ?

A SageMath package with algorithms for analytic combinatorics in several variables.