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awesome-quant

**的Quant相关资源索引

awesome_time_series_in_python

This curated list contains python packages for time series analysis

backup

calendar

iOS calendar component written in Swift

cvcalendar

A custom visual calendar for iOS 8+ written in Swift (2.0).

deep-learning-in-time-series

Deep learning in time series analysis

effectivetensorflow

TensorFlow tutorials and best practices.

entity-embedding-rossmann

lstnet

multivariate-time-series-forecast-using-seq2seq-in-tensorflow

nanyang

nmt

TensorFlow Neural Machine Translation Tutorial

personal

Some personal stuff

prml

PRML algorithms implemented in Python

rossmann_tsa_forecasts

Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.

rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

seq2seq-signal-prediction

Signal prediction with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow

stanford-cs229

Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

surge-forecast-with-rnn

Multivariate Time-Series Analysis using Recurrent Neural Net with Long Short Term Memory for forecasting surge pricing 5 min into the future.

timeseriesforecasting

Material for the Time Series Forecasting article

vnpy

基于python的开源量化交易平台开发框架

vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

xgbfi

XGBoost Feature Interactions & Importance

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