114 Open source projects that are alternatives of or similar to Zoltar

https://events.kaspersky.com/hackathon/

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

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

Scalable machine 🤖 learning for time series forecasting.

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

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

Rust bindings for XGBoost.

Automatic machine learning for tabular data. ⚡🔥⚡

Kaggle Kernels (Python, R, Jupyter Notebooks)

Earthquake Prediction Challenge with LightGBM and XGBoost

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

📒 Experiment tracking tool and model registry

stratigraphic machine-learning - active work moved to Predictatops

Convert XGBoost's DMatrix format to np.array

Animated Visualizations of Popular Machine Learning Algorithms

🌳 Stacked Gradient Boosting Machines

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

Material of the Kaggle Berlin meetup group!

Data and Code to reproduce results for my talk at Paris: R in Insurance 2017 Conference

An End to End Customer Churn Prediction solution using AWS services.

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现

⏱ Benchmarks of machine learning inference for Go

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

Show how to perform fast retraining with LightGBM in different business cases

Implemented an A/B Testing solution with the help of machine learning

Building Decision Trees From Scratch In Python

머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.

AI100文本分类竞赛代码。从传统机器学习到深度学习方法的测试

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Advanced High Performance Data Science Toolbox for R by Laurae

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Performance of various open source GBM implementations

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Stacked Generalization (Ensemble Learning)

A fast xgboost feature selection algorithm

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

Provide an input CSV and a target field to predict, generate a model + code to run it.

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

A repository to keep track of all the code that I end up writing for my blog posts.

Solution to the Outbrain Click Prediction competition

Comparison tools

State-of-the art Automated Machine Learning python library for Tabular Data

Nyoka is a Python library to export ML/DL models into PMML (PMML 4.4.1 Standard).

[UNMAINTAINED] Automated machine learning for analytics & production

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.