416 Open source projects that are alternatives of or similar to arboreto

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

A collection of research papers on decision, classification and regression trees with implementations.

InfiniteBoost: building infinite ensembles with gradient descent

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

A curated list of data mining papers about fraud detection.

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

🌳 Stacked Gradient Boosting Machines

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

A curated list of gradient boosting research papers with implementations.

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

Machine Learning inference engine for Microcontrollers and Embedded devices

Machine learning for C# .Net

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

A Unified Framework for Random Forest Prediction Error Estimation

Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

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

A full pipeline AutoML tool for tabular data

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

Building Decision Trees From Scratch In Python

Machine Learning algorithms coded from scratch

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

Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.

Flowgraph package for scalable asynchronous system development

TypeDB: a strongly-typed database

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

kgpml.github.io/deep-vessel/

Deep and Machine Learning for Microscopy

Write fully type inferred Vuex modules

This tutorial series provides step-by-step instructions for how to perform human pose estimation in Unity with the Barracuda inference library.

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

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

🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools

subsemble R package for ensemble learning on subsets of data

This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.

Native Dask collection for awkward arrays, and the library to use it.

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

Jupyter Notebooks and miscellaneous

🎛 Distributed machine learning made simple.

⚡ Open-source software for deep learning-based digital pathology

Earth System Model Lab (esmlab). ⚠️⚠️ ESMLab functionality has been moved into <https://github.com/NCAR/geocat-comp>. ⚠️⚠️

Echo Server is a Docker-ready, multi-scalable Node.js application used to host your own Socket.IO server for Laravel Broadcasting.

Julia package for automatic Bayesian inference on a factor graph with reactive message passing

Machine learning toolkits with Python

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

Сompresssing First Order Motion Model for Image Animation to enable its real-time inference on mobile devices

A library for managing, validating, summarizing, and visualizing data.

Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.

Machine Learning University: Decision Trees and Ensemble Methods

A COBOL parser and Mainframe/EBCDIC data source for Apache Spark

💻 Microservice library / framework using Python's asyncio event loop with full support for HTTP + WebSockets, AWS SNS+SQS, RabbitMQ / AMQP, middleware, etc. Extendable for GraphQL, protobuf, gRPC, among other technologies.

dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.

Online machine learning methods

Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification