107 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
7,176 commits to master branch, last one 13 hours 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
1,618 commits to master branch, last one 14 hours 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
1,218 commits to master branch, last one 23 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 Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Created
2015-05-22
3,293 commits to master branch, last one 2 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 7 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 4 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
1,094 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
3,920 commits to master branch, last one 5 days ago
Scalable Python DS & ML, in an API compatible & lightning fast way.
Created
2022-07-27
455 commits to main branch, last one a day 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 7 months ago
Scalable machine 🤖 learning for time series forecasting.
Created
2021-04-26
309 commits to main branch, last one a day ago
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Created
2020-06-16
1,708 commits to master branch, last one 16 days 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 2 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 8 months ago
An extension of XGBoost to probabilistic modelling
Created
2019-06-16
978 commits to master branch, last one 9 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 5 months ago