Beast code in Giters

Yu's repositories

Cirq

A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

Apache-2.0000

sparklanes

A lightweight data processing framework for Apache Spark

MIT000

EasyPR

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

Apache-2.0000

pylogit

A python package for estimating conditional logit models.

BSD-3-Clause000

Machine-Learning-Study-Path-March-2019

A complete ML study path, focused on TensorFlow and Scikit-Learn

000

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Language:Jupyter NotebookApache-2.0000

urban-traffic-speed-dataset-Guangzhou

A dataset for understanding urban transportation. This is an urban traffic speed dataset, which consists of 214 anonymous road segments within two months (i.e., from August 1, 2016 to September 30, 2016) at 10-minute interval, and the speed observations were collected in Guangzhou, China.

000

fast-trips-tutorial

Jupyter Notebook -based tutorials for the Fast-Trips Dynamic Transit Assignment Software

000

Programming-in-Scala-sourcecode

I organized the code related to "Programming in Scala book" ,because I didn't find its sourcecode online

Language:Scala000

keras

Deep Learning for humans

Language:PythonNOASSERTION000

xgboost

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, Flink and DataFlow

Language:C++NOASSERTION000

LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

Language:C++MIT000