All Projects → Mlbox → Similar Projects or Alternatives

3134 Open source projects that are alternatives of or similar to Mlbox

Lightautoml
LAMA - automatic model creation framework
Stars: ✭ 196 (-83.65%)
Mlj.jl
A Julia machine learning framework
Stars: ✭ 982 (-18.1%)
Auto ml
[UNMAINTAINED] Automated machine learning for analytics & production
Stars: ✭ 1,559 (+30.03%)
Automlpipeline.jl
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
Stars: ✭ 223 (-81.4%)
Mljar Supervised
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Stars: ✭ 961 (-19.85%)
Benchmarks
Comparison tools
Stars: ✭ 139 (-88.41%)
Open Solution Home Credit
Open solution to the Home Credit Default Risk challenge 🏡
Stars: ✭ 397 (-66.89%)
Mutual labels:  kaggle, pipeline, xgboost, lightgbm
Tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Stars: ✭ 8,378 (+598.75%)
Open Solution Toxic Comments
Open solution to the Toxic Comment Classification Challenge
Stars: ✭ 154 (-87.16%)
Mutual labels:  kaggle, data-science, pipeline, prediction
Mlr
Machine Learning in R
Stars: ✭ 1,542 (+28.61%)
Ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Stars: ✭ 18,547 (+1446.87%)
Automl alex
State-of-the art Automated Machine Learning python library for Tabular Data
Stars: ✭ 132 (-88.99%)
Mutual labels:  data-science, automl, xgboost, stacking
Hyperparameter hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Stars: ✭ 648 (-45.95%)
Mutual labels:  data-science, xgboost, lightgbm, optimization
Nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Stars: ✭ 10,698 (+792.24%)
Autodl
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]
Stars: ✭ 854 (-28.77%)
Hyperactive
A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.
Stars: ✭ 182 (-84.82%)
My Data Competition Experience
本人多次机器学习与大数据竞赛Top5的经验总结,满满的干货,拿好不谢
Stars: ✭ 271 (-77.4%)
Mutual labels:  data-science, automl, xgboost, lightgbm
MSDS696-Masters-Final-Project
Earthquake Prediction Challenge with LightGBM and XGBoost
Stars: ✭ 58 (-95.16%)
Mutual labels:  prediction, kaggle, xgboost, lightgbm
Remixautoml
R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
Stars: ✭ 159 (-86.74%)
Open Solution Mapping Challenge
Open solution to the Mapping Challenge 🌎
Stars: ✭ 291 (-75.73%)
Mutual labels:  kaggle, data-science, pipeline, lightgbm
Ml
A high-level machine learning and deep learning library for the PHP language.
Stars: ✭ 1,270 (+5.92%)
Machinejs
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
Stars: ✭ 412 (-65.64%)
Interactive machine learning
IPython widgets, interactive plots, interactive machine learning
Stars: ✭ 140 (-88.32%)
Evalml
EvalML is an AutoML library written in python.
Stars: ✭ 145 (-87.91%)
Mutual labels:  data-science, automl, optimization
Auptimizer
An automatic ML model optimization tool.
Stars: ✭ 166 (-86.16%)
Data Science Competitions
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Stars: ✭ 572 (-52.29%)
Mutual labels:  kaggle, data-science, xgboost
Metriculous
Measure and visualize machine learning model performance without the usual boilerplate.
Stars: ✭ 71 (-94.08%)
Data Science Toolkit
Collection of stats, modeling, and data science tools in Python and R.
Stars: ✭ 169 (-85.9%)
Alphapy
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
Stars: ✭ 564 (-52.96%)
Smile
Statistical Machine Intelligence & Learning Engine
Stars: ✭ 5,412 (+351.38%)
Machine Learning With Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+83.24%)
Uci Ml Api
Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)
Stars: ✭ 190 (-84.15%)
H2o 3
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.
Stars: ✭ 5,656 (+371.73%)
Mutual labels:  data-science, automl, distributed
Allstate capstone
Allstate Kaggle Competition ML Capstone Project
Stars: ✭ 72 (-93.99%)
Mutual labels:  kaggle, data-science, xgboost
Orange3
🍊 📊 💡 Orange: Interactive data analysis
Stars: ✭ 3,152 (+162.89%)
Featuretools
An open source python library for automated feature engineering
Stars: ✭ 5,891 (+391.33%)
Flaml
A fast and lightweight AutoML library.
Stars: ✭ 205 (-82.9%)
Eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Stars: ✭ 2,477 (+106.59%)
Mutual labels:  data-science, xgboost, lightgbm
Kaggle Competitions
There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
Stars: ✭ 86 (-92.83%)
Mutual labels:  kaggle, data-science, classification
Neuroflow
Artificial Neural Networks for Scala
Stars: ✭ 105 (-91.24%)
Lale
Library for Semi-Automated Data Science
Stars: ✭ 198 (-83.49%)
Lightgbm
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.
Stars: ✭ 13,293 (+1008.67%)
Mutual labels:  kaggle, lightgbm, distributed
docker-kaggle-ko
머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.
Stars: ✭ 46 (-96.16%)
Mutual labels:  kaggle, xgboost, lightgbm
Apartment-Interest-Prediction
Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
Stars: ✭ 17 (-98.58%)
Mutual labels:  kaggle, xgboost, lightgbm
autogbt-alt
An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
Stars: ✭ 76 (-93.66%)
Mutual labels:  kaggle, lightgbm, automl
AutoTabular
Automatic machine learning for tabular data. ⚡🔥⚡
Stars: ✭ 51 (-95.75%)
Mutual labels:  xgboost, lightgbm, automl
kaggle-plasticc
Solution to Kaggle's PLAsTiCC Astronomical Classification Competition
Stars: ✭ 50 (-95.83%)
Mutual labels:  kaggle, lightgbm, stacking
Kaggle-Competition-Sberbank
Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market
Stars: ✭ 31 (-97.41%)
Mutual labels:  kaggle, xgboost, lightgbm
HyperGBM
A full pipeline AutoML tool for tabular data
Stars: ✭ 172 (-85.65%)
Mutual labels:  xgboost, lightgbm, automl
HumanOrRobot
a solution for competition of kaggle `Human or Robot`
Stars: ✭ 16 (-98.67%)
Mutual labels:  kaggle, xgboost, lightgbm
Autogluon
AutoGluon: AutoML for Text, Image, and Tabular Data
Stars: ✭ 3,920 (+226.94%)
Open Solution Value Prediction
Open solution to the Santander Value Prediction Challenge 🐠
Stars: ✭ 34 (-97.16%)
Mutual labels:  data-science, xgboost, lightgbm
Tensorflow Resources
Curated Tensorflow code resources to help you get started with Deep Learning.
Stars: ✭ 330 (-72.48%)
Mutual labels:  classification, prediction, regression
Php Ml
PHP-ML - Machine Learning library for PHP
Stars: ✭ 7,900 (+558.88%)
Autoviz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Stars: ✭ 310 (-74.15%)
Lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Stars: ✭ 401 (-66.56%)
Mutual labels:  classification, automl, regression
Machine Learning From Scratch
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
Stars: ✭ 42 (-96.5%)
fast retraining
Show how to perform fast retraining with LightGBM in different business cases
Stars: ✭ 56 (-95.33%)
Mutual labels:  kaggle, xgboost, lightgbm
Pycaret
An open-source, low-code machine learning library in Python
Stars: ✭ 4,594 (+283.15%)
Pba
Efficient Learning of Augmentation Policy Schedules
Stars: ✭ 461 (-61.55%)
1-60 of 3134 similar projects