109 Open source projects that are alternatives of or similar to aifad

A type-safe and space-efficient sum type for C# (comparable to discriminated unions in C or C++)

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

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

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

[not actively maintained!] A standard library for functional programming in JavaScript

Generic immutable recursive data representation API targeted at source code models and more.

🌳 Stacked Gradient Boosting Machines

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

Julia functional programming infrastructures and metaprogramming facilities

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

Algebraic data types for Python (experimental, not actively maintained)

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.

Real time face landmarking using decision trees and NN autoencoders

Fast Differentiable Forest lib with the advantages of both decision trees and neural networks

Hyperon - Motor Insurance Demo App. This is a sample application to demonstrate capabilities of Hyperon.io library (Java Business Rules Engine (BRE)/Java Pricing Engine). The application demonstrates responsive quotations for Car/Motor Insurance based on decision tables and Rhino functions (for math calculations). It shows different possible bus…

Machine Learning University: Decision Trees and Ensemble Methods

Misc Statistics and Machine Learning codes in R

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

Algebraic data type (ADT) to represent the state of data that is loading from/to remote sources/destinations

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

RemoteData type

eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding

Principled schema system for JSON. Work in progress.

heidi : tidy data in Haskell

A tool for visualizing the structure and performance of Random Forests 🌳

pure functional and generic programming for Erlang

[ICML 2021] A fast algorithm for fitting robust decision trees. http://proceedings.mlr.press/v139/vos21a.html

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

🚦 Declarative Finite-State Machines in Go

An Interactive Approach to Understanding Supervised Learning Algorithms

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

Go Scoring API for PMML

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

A lightweight library for designing and executing workflows in .NET Core

Machine Learning models from scratch with a better visualisation

A complete one stop solution for all the problems of Rural area people. 👩🏻‍🌾

Predicting IPL match results. https://kuharan.github.io/IPL-ML-2018/

java math expression parser is faster than JEP

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation

Evolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Reactive library for data fetching, caching, state management

🧮 A research programming language on top of C macros

A code generator enabling sum-types in Dart

🤝 Struct and enum data access in harmony.

Data interchange with algebraic data types.

🦋 Fantasy Land compliant (monadic) alternative to Promises

A fragmentary bidirectional type system as a Python library

Reusable, composable patterns across Elixir libraries

Interactive GUI (developed in Python) for calibration and conditional verification of numerical weather prediction model outputs.

Algebraic data types in Java.

a code gen solution for defining sealed classes, data classes, and enum classes for dart.

Implementations of machine learning algorithm by Python 3

Conceptual & empirical comparisons between decision forests & deep networks

simple tutorial on Machine Learning with Scikitlearn

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

🗃 A mono-repository with functional programming helpers, algebraic data types, util functions, types and even some micro frameworks in TypeScript.

Base software building blocks: Algebraic types (aka sumtype/tagged union/variant), universal reflection API, basic math, and more.