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.
Performance of various open source GBM implementations
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)
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.).
Machine Learning In R
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.
Data science blogs
A repository to keep track of all the code that I end up writing for my blog posts.
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
Common library for serving TensorFlow, XGBoost and scikit-learn models in production.
Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.
Predicting real estate prices using scikit Learn
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
MLBox is a powerful Automated Machine Learning python library.
Home Credit Default Risk
Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline
Cikm analyticup 2017
CIKM AnalytiCup 2017 is an open competition that is sponsored by Shenzhen Meteorological Bureau, Alibaba Group and CIKM2017. Our team got the third place in the first phrase. And in the second phrase we got the fourth place.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Serverless Inferencing on Kubernetes
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
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...).
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
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
A Scala feature transformation library for data science and machine learning
Real time eye tracking for embedded and mobile devices.
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
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
A python library for decision tree visualization and model interpretation.