558 Open source projects that are alternatives of or similar to Rgf

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

A collection of notebooks of my Machine Learning class written in python 3

Kaggle solutions

Code for Kaggle and Offline Competitions

从零基础开始机器学习之旅

The repository provides usefull python scripts for ML and data analysis

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

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

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

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

Run any Jupyter notebook instantly using Kaggle kernels

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

Kaggle | 1st place solution for Freesound Audio Tagging 2019

Open solution to the Mapping Challenge 🌎

A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.

😎 A curated list of awesome MLOps tools

Neural networks library for machine learning on PHP

8th sem Final year Project of VTU

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

EmbeddedML was created to be an alternative to the limited options available for Artificial Neural Networks in C. It is designed to be efficient without sacrificing ease of use. It is meant to support students as well as industry experts as it is built to be expandable and straightforward to manipulate.

AIFAD - Automated Induction of Functions over Algebraic Data Types

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

Sharing Updatable Models (SUM) on Blockchain

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Alpha principles for the ethical use of AI and Data Driven Technologies in Ontario | Proposition de principes pour une utilisation éthique des technologies axées sur les données en Ontario

this resporatory have ml,ai,nlp,data science etc.python language related material from many websites eg. datacamp,geeksforgeeks,linkedin,youtube,udemy etc. also it include programming challange/competion solutions

This repository is a case study, analysis and visualization of COVID-19 Pandemic spread along with prediction models.

Pytorch starter kit for Kaggle competitions

TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.

Machine learning for C# .Net

2nd place solution to Kaggle's Cdiscount image classification challange.

Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

This repository contains instructions and code to deploy a customer 360 profile solution on Azure stack using the Cortana Intelligence Suite.

Command Line Artificial Intelligence or CLAI is an open-sourced project from IBM Research aimed to bring the power of AI to the command line interface.

使用sklearn做特征工程

Python bindings for BigML.io

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

AI圈Noah plan-AI数据竞赛Top可复现解决方案(Awesome Top Solution List of Excellent AI Competitions)

Репозиторий направления Production ML, весна 2021

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

Conceptual & empirical comparisons between decision forests & deep networks

Kaggle TGS Salt Identification Challenge 2018 4th place code

Lab worksheets for the Applied Deep Learning Course.

A library for transfer learning by reusing parts of TensorFlow models.

Simple machine learning library / 簡單易用的機器學習套件

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

Distributed scikit-learn meta-estimators in PySpark

Disclaimer: This is the detailed notes for PadhAI onefourthlabs course “A First Course on Deep Learning".

A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.

An Open Source, Self-Hosted Platform For Applied Deep Learning Development

a solution for competition of kaggle `Human or Robot`

WolfPACS is an DICOM load balancer written in Erlang.

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

Machine Learning Lectures at the European Space Agency (ESA) in 2018

🎨 Winning solution for the Painter by Numbers competition on Kaggle.

Analysis of top give winning solutions of the ASHRAE Great Energy Predictor III competition

Synthesize image datasets of documents in natural scenes with Python+Blender3D

simple tutorial on Machine Learning with Scikitlearn

Summary of the Kaggle Stock Prediction Competition & my Trial