polymath's repositories

ai323

Config files for my GitHub profile.

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awesome-deep-trading

List of awesome resources for machine learning-based algorithmic trading

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awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

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awesome-quant

**的Quant相关资源索引

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awesome_time_series_in_python

This curated list contains python packages for time series analysis

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Cryptography-1

Offered by Stanford University through Coursera

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Cryptopals-challenges

Challenge accepted!

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Deep-Learning-in-Time-Series

Deep learning in time series analysis

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EffectiveTensorflow

TensorFlow tutorials and best practices.

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models

Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)

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nmt

TensorFlow Neural Machine Translation Tutorial

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PRML

PRML algorithms implemented in Python

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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.

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rtb-papers

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

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seq2seq-signal-prediction

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

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stanford-cryptography

Programming assignments for Coursera Cryptography I by Stanford University

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stanford-cs229

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

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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.

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TimeSeriesForecasting

Material for the Time Series Forecasting article

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vnpy

基于python的开源量化交易平台开发框架

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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.

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xgbfi

XGBoost Feature Interactions & Importance

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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

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yieldfarming

🧑‍🌾 It ain't much, but it's an honest work

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