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42 search results found

Mljar Supervised ⭐ 2,867

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Shapash ⭐ 2,547

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Scikit Plot ⭐ 2,277

An intuitive library to add plotting functionality to scikit-learn objects.

Scattertext ⭐ 2,131

Beautiful visualizations of how language differs among document types.

Meshcnn ⭐ 1,211

Convolutional Neural Network for 3D meshes in PyTorch

Pool-based active learning in Python

Featexp ⭐ 656

Feature exploration for supervised learning

Interpretable_machine_learning_with_python ⭐ 629

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Chan.py ⭐ 481

开放式的缠论python实现框架，支持形态学/动力学买卖点分析计算，多级别K线联立，区间套策略，可视

Pretty Print Confusion Matrix ⭐ 408

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

Pytorch Vsumm Reinforce ⭐ 342

Unsupervised video summarization with deep reinforcement learning. AAAI'18.

Your First Machine Learning Project End To End In Python ⭐ 302

这是一个完整的，端到端的机器学习项目，非常适合有一定基础后拿来练习，以提高对完整机器学习项目的认识

Bitcoinforecast ⭐ 258

Predict bitcoin price with deep learning

Food2vec ⭐ 207

Variable Importance Plots (VIPs)

Spark Ml Streaming ⭐ 175

Visualize streaming machine learning in Spark

Ml Course ⭐ 168

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Visualize_ml ⭐ 160

Python package for consolidated and extensive Univariate,Bivariate Data Analysis and Visualization catering to both categorical and continuous datasets.

Ml_things ⭐ 157

This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.

Tbparse ⭐ 136

Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow

Path_explain ⭐ 134

A repository for explaining feature attributions and feature interactions in deep neural networks.

Display and analyze ROC curves in R and S+

Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end

Automated Data Science and Machine Learning library to optimize workflow.

Pymatviz ⭐ 98

A toolkit for visualizations in materials informatics.

⬛ Python Individual Conditional Expectation Plot Toolbox

Breakdown ⭐ 87

Model Agnostics breakDown plots

A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.

GG.Net Data Visualization

Treeshap ⭐ 72

Compute SHAP values for your tree-based models using the TreeSHAP algorithm

Covid19 Literature Clustering ⭐ 63

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

exploratory data analysis using random forests

Model verification, validation, and error analysis

Upside Down Reinforcement Learning ⭐ 44

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

Lidia Denoiser ⭐ 38

LIDIA: Lightweight Learned Image Denoising with Instance Adaptation (NTIRE, 2020)

Senet For Weakly Supervised Relation Extraction ⭐ 35

A simple tool for logging and plotting measurements during machine learning experiments

Spark Tree Plotting ⭐ 29

A simple tool for plotting Spark ML's Decision Trees

Zeta Learn ⭐ 27

zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib

Machine Learning Tool Box

Ml Hv Grid Pub ⭐ 24

Code for high-voltage grid mapping project with the World Bank; early 2018

Asreview Insights ⭐ 23

Tools such as plots and metrics to analyze (simulated) reviews for ASReview LAB

Flashlight ⭐ 20

Machine learning explanations

Contact Nets ⭐ 19

Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations

Datascienceutils ⭐ 17

Data science common method for python

Variationalautoencoders ⭐ 17

Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.

Age Prediction ⭐ 17

This Project is an applicaton based on Computer vision and Machine learning implementation using regression supervised classification.

Multivariate Statistics Self Learning ⭐ 16

应用多元统计分析（高慧璇版）自学材料

Heart Disease Analysis And Prediction ⭐ 15

Heart Disease Analysis repository

Track your ML project!

Simple_echo_state_network ⭐ 14

Echo state network framework, NARMA10 dataset generator as an demonstration supplied.

This is a custom library for data processing, visualization and machine learning tools.

Tensor Gmm ⭐ 11

Implementation of learning a Gaussian mixture model using tensor decomposition.

Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features

Passenger Prediction Using Time Series Analysis ⭐ 10

I have used Time Series Analysis to predict the behavior and pattern of Passengers at a bus stop, Data Visualizations include Time-Series Plots.

Peroxide_gallery ⭐ 9

Examples of Peroxide (Rust numeric library)

Missingdata ⭐ 9

missing data handing: visualize and impute

Federated2fog ⭐ 8

Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks

Learning Word Vectors from Project Gutenberg Texts

Reddit_visualizer ⭐ 7

visualize reddit threads with machine learning and nlp

Capstoneproject_house_prices_prediction ⭐ 7

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysi

Machine learning methods for the prediction of pathology in protein mutations, as in the PMut predictor.

Neuralteleportation ⭐ 6

Isomorphisms of quiver representations applied to neural networks.

Plot tree based machine learning models

Mlproject ⭐ 6

Project for the Machine Learning course

Shapley Values H2o Example ⭐ 6

Shapley Values with H2O AutoML Example (ML Interpretability)

Predictive Modeling In R ⭐ 5

Workshop (2-6 hours): cleaning, missing value imputation, EDA, ensemble learning, calibration, variable importance ranking, accumulated local effect plots. WIP.

SciQLOP is an ergonomic and efficient application to browse and label in situ plasma measurements from multi-mission satellite data.

An updated R package deeper: Deep Ensemble for Environmental Predictor

Machine Learning Toolbox 2

COVID-19 Prediction and Visualization Software

A ML project flow tool, with the primary objective of simplifying actuarial ML processes.

Visdom_logger ⭐ 5

Wrapper to use visdom as logger when training ML models

A Data Mining Framework for Air Route Clustering

Dynamic Shap Plots ⭐ 5

Enabling interactive plotting of the visualizations from the SHAP project.

Style-based GAN for geophysical fields

Criticaldifferencediagrams.jl ⭐ 5

Plot critical difference diagrams in Julia

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