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abaqus

asfem

A Simple Finite Element Method program (AsFem)

crop-recommendation

Crop Recommendation Prediction using Multilayer Perceptron, Artificial Neural Network and Recurrent Neural Network

deep-learning-gene-expression

Deep learning methods for feature selection in gene expression autism data.

deep_learning

Deep Learning - DNN & CNN

drugex

Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology

dtreeviz

A python library for decision tree visualization and model interpretation.

feature-engineering

feature-engineering-tutorials

Data Science Feature Engineering and Selection Tutorials

feature-selection-using-genetic-algorithm

Feature selection technique using genetic algorithm

feature_selection

常用的特征选择方法

finitevolume2d

Finite volume method (2D)

geion

A simple library that uses genetic algorithms for feature selection optimization

gsl

GNU Scientific Library with CMake build support and AMPL bindings

heart-disease-prediction

A tool for predicting Heart Disease probability based on ML model

kaggle_feature-engineering

kawin

A python package to simulate precipitation and diffusion behavior using Calphad

learning-journal-2

Learn Artificial Neural Network, Computer Vision and Natural Language Processing models with TensorFlow to Big Data Analytics and build a team for real practice and create a final project for a portfolio.

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

mast-ml

MAterials Simulation Toolkit for Machine Learning (MAST-ML)

mcrpy

Microstructure Characterization and Reconstruction in Python

microstructpy

Microstructure modeling, mesh generation, analysis, and visualization.

microstructure-grains

A code that analyses grains from microstructure images, providing informations such as number of grains and grain size

microstructure-image-processing

Image processing and analysis of microstructures in Python

microstructure_prediction-tool

ml_price_prediction_model_for_ames_housing

This project is on descriptive and predictive analysis of Ames Housing Data. We wish to: Determine the factors that affect the prices of the local housing market? Train a model to accurately predict the prices and improve price prediction accuracy using ML techniques and also test that our predictions are realistic using GridSearchCV, XGBoost etc.

music-genre-classification

Recognizing the genre of music files using machine learning and deep learning models

object-depth-detection-based-hybrid-distance-estimator

We use our ODD model. Our purpose is that predict the distance between car based on Deep-Learning.

opencalphad-python

OpenCalphad-Python is a Python-based library that allows users to generate their own applications using the OpenCalphad API

p5-nonlinear-dimensionality-reduction

5th semester project concerning feature engineering and nonlinear dimensionality reduction in particular.