552 Open source projects that are alternatives of or similar to dlime_experiments

Fit interpretable models. Explain blackbox machine learning.

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

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Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

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CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

Papers about explainability of GNNs

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A document covering machine learning basics. 🤖📊

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simple tutorial on Machine Learning with Scikitlearn

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A python library to build Model Trees with Linear Models at the leaves.

Predictive AI layer for existing databases.

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

Machine Learning for Spot Prices

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

A collection of awesome scripts from developers around the globe.

Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals

Solution of the Titanic Kaggle competition

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Machine Learning inference engine for Microcontrollers and Embedded devices

A curated list of awesome machine learning interpretability resources.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

MindsDB server allows you to consume and expose MindsDB workflows, through http.

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

🍊 📊 💡 Orange: Interactive data analysis

Examples of Data Science projects and Artificial Intelligence use cases

No description or website provided.

ML-powered Loan-Marketer Customer Filtering Engine

No description or website provided.

A random forest

Scripts, tools and example data for mapping wetland ecosystems using data driven R statistical methods like Random Forests and open source GIS

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Machine Learning library written in Python and NumPy.

Face/Beauty Rating with both the traditional ML approaches and Convolutional Neural Network Approach

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Animated Visualizations of Popular Machine Learning Algorithms

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利用Logistic回归实现信用卡欺诈检测

Machine learning in Matlab using scikit-learn syntax

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Content Based Music Recommendation Service

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