950 Open source projects that are alternatives of or similar to Traffic

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Probably the best curated list of data science software in Python.

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Projeto de análise de contratos com suspeita de superfaturamento e má qualidade na prestação de serviços.

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MLBox is a powerful Automated Machine Learning python library.

Deep learning library featuring a higher-level API for TensorFlow.

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TSrepr: R package for time series representations

The easiest way to automate your data

Collection of open-source Spark tools & frameworks that have made the data engineering and data science teams at Swoop highly productive

Create a dashboard with python!

告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 Python中文网 http://www.zglg.work

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

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IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Readings in applied data science

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

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A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

A Java Toolbox for Scalable Probabilistic Machine Learning

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A python binding for crfsuite

Experiment tracking for machine and deep learning projects

Reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser.

Deploy a ML inference service on a budget in less than 10 lines of code.

(Deprecated, use https://github.com/Kaggle/kaggle-api instead) An unofficial Kaggle command line tool.

Yet another black-box optimization library for Python

Python library to easily log experiments and parallelize hyperparameter search for neural networks

MADS: Model Analysis & Decision Support

深度学习在推荐系统中的应用及论文小结。

Blockchain2graph extracts blockchain data (bitcoin) and insert them into a graph database (neo4j).

Automatic extraction of relevant features from time series:

Measure and visualize machine learning model performance without the usual boilerplate.

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Email clustering with machine learning

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Teaching materials in python at the @ENSAE