108 results found Sort:
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Created
2014-02-06
7,193 commits to master branch, last one a day ago
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Created
2020-02-27
27 commits to master branch, last one 4 years ago
Standardized Serverless ML Inference Platform on Kubernetes
Created
2019-03-27
1,630 commits to master branch, last one 2 days ago
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Created
2018-09-30
283 commits to master branch, last one 5 months ago
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Created
2018-11-05
1,222 commits to master branch, last one 9 days ago
A python library for decision tree visualization and model interpretation.
Created
2018-08-13
621 commits to master branch, last one 2 months ago
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
Created
2019-01-13
376 commits to master branch, last one 2 years ago
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Created
2016-09-15
1,198 commits to master branch, last one 4 years ago
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Created
2018-12-05
1,297 commits to master branch, last one about a year ago
Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Created
2015-05-22
3,296 commits to master branch, last one 12 days ago
A collection of research papers on decision, classification and regression trees with implementations.
cart
xgboost
catboost
lightgbm
classifier
decision-tree
random-forest
tree-ensemble
regression-tree
machine-learning
ensemble-learning
gradient-boosting
decision-tree-model
classification-model
classification-trees
statistical-learning
decision-tree-learning
decision-tree-classifier
gradient-boosting-machine
machine-learning-research
Created
2019-05-11
281 commits to master branch, last one 8 months ago
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 algor...
Created
2015-03-28
522 commits to master branch, last one 5 years ago
Provide an input CSV and a target field to predict, generate a model + code to run it.
Created
2019-01-13
102 commits to master branch, last one 5 years ago
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Created
2019-07-17
223 commits to master branch, last one 5 months ago
[UNMAINTAINED] Automated machine learning for analytics & production
keras
automl
python
xgboost
lightgbm
analytics
tensorflow
data-science
deeplearning
scikit-learn
deep-learning
machine-learning
production-ready
gradient-boosting
feature-engineering
artificial-intelligence
machine-learning-library
automated-machine-learning
machine-learning-pipelines
hyperparameter-optimization
Created
2016-08-07
1,149 commits to master branch, last one 6 years ago
Distributed ML Training and Fine-Tuning on Kubernetes
Created
2017-06-28
1,096 commits to master branch, last one 2 days ago
MLBox is a powerful Automated Machine Learning python library.
Created
2017-06-01
1,121 commits to master branch, last one 4 years ago
Time series forecasting with machine learning models
arima
python
sarimax
xgboost
lightgbm
forecasting
time-series
data-science
scikit-learn
machine-learning
direct-forecasting
exogenous-predictors
lstm-neural-networks
quantile-forecasting
multi-step-forecasting
backtesting-forecasters
multi-series-forecasting
probabilistic-forecasting
autoregressive-forecasting
multiple-time-series-forecasting
Created
2021-02-10
3,996 commits to master branch, last one 9 days ago
Scalable Python DS & ML, in an API compatible & lightning fast way.
Created
2022-07-27
458 commits to main branch, last one 2 days ago
A curated list of gradient boosting research papers with implementations.
h2o
xgboost
adaboost
boosting
catboost
lightgbm
classifier
decision-tree
deep-learning
random-forest
machine-learning
gradient-boosting
xgboost-algorithm
classification-tree
classification-trees
gradient-boosted-trees
classification-algorithm
gradient-boosting-machine
gradient-boosting-classifier
gradient-boosting-decision-trees
Created
2019-05-11
206 commits to master branch, last one 8 months ago
Scalable machine 🤖 learning for time series forecasting.
Created
2021-04-26
318 commits to main branch, last one 6 days ago
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Created
2020-06-16
1,720 commits to master branch, last one a day ago
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Created
2018-06-01
1,096 commits to master branch, last one 3 years ago
AI比赛相关信息汇总
Created
2018-06-08
52 commits to master branch, last one about a year ago
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
Created
2020-11-29
346 commits to main branch, last one 6 months ago
📘 The experiment tracker for foundation model training
Created
2019-02-11
2,103 commits to master branch, last one 16 days ago
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
Created
2013-04-02
605 commits to master branch, last one 2 months ago
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Created
2021-05-16
30 commits to main branch, last one 9 months ago
An extension of XGBoost to probabilistic modelling
Created
2019-06-16
978 commits to master branch, last one 10 months ago
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Created
2019-06-10
331 commits to master branch, last one 6 months ago