bbridgecn Goto Github PK

aladdin

Functions and util functions that I use

algorithms-collection-python

Collection of Algorithms implemented in Python COPIED

autoencoder-impute

Implementation of imputation using different types of autoencoders described in paper. This python package contains implementation of Denoising Autoencoder, Multimodal Autoencoder, Variational Autoencoder

awesome-vaes

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

batf

MATLAB code for 「Missing traffic data imputation and pattern discovery with a Bayesian augmented tensor factorization model」.

blogs

bluebook-for-bulldozers

Predict the auction sale price for a piece of heavy equipment to create a "blue book" for bulldozers in time series data.

co2-data

Data on CO2 and greenhouse gas emissions by Our World in Data

courses

Courses and MOOCs COPIED

data-preprocessing-and-feature-engineering

datasets

This is Data Set for implementing classification and Regression algorithms

datasets_2

A collection of datasets of ML problem solving

deepimpute

An accurate and efficient deep learning method for single-cell RNA-seq data imputation

ebm-nlp

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

fuzzy-c-means-clustering-imputation

A hybrid method that uses support vector regression which is known as a reliable machine learning technique and a genetic algorithm was used with fuzzy clustering to estimate missing values.

gain

Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018

gan_regression

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gmm-with-incomplete-data

Gaussian Mixture Model Clustering with Incomplete Data

ismts-review

linear-data-imputation

linearReg imputation

machine-learning-collection

A resource for learning about Machine learning & Deep Learning COPIED

machine-learning-stock-market-prediction

Stock Market Prediction with Machine Learning using Recurrent Neural Networks (RNN).

machine-learning-with-r-datasets

Formatted datasets for Machine Learning With R by Brett Lantz

mdi

Missing Data Imputation Python Library

mida-pytorch

PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"

midaspy

Python package for missing-data imputation with deep learning

missingdatavaes

missingpy

Missing Data Imputation for Python