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pytorch-forecasting

Time series forecasting with PyTorch

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

pytorch_time2vec

pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

quant-trading

Python quantitative trading strategies including Pattern Recognition, CTA, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

quantstrat

quick-sql-cheatsheet

A quick reminder of all SQL queries and examples on how to use them.

r4nd0m

readata

Python数据分析实战项目汇总~

recommenders

Best Practices on Recommendation Systems

reinforcement-learning-algorithms-with-python

Reinforcement Learning Algorithms with Python, Published by Packt

rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

routeros-scanner

Tool to scan for RouterOS (Mikrotik) forensic artifacts and vulnerabilities.

routeros-scripts

a collection of scripts for MikroTik RouterOS

russianhousing

sap-hana-automl

Python Automated Machine Learning library for tabular data.

scalable-data-science

Scalable Data Science, course sets in big data Using Apache Spark over databricks and their mathematical, statistical and computational foundations using SageMath.

scikit-fda

Functional Data Analysis Python package

scikit-learn

scikit-learn: machine learning in Python

scikit-learn-recipes

scikit-learn-tips

:robot::zap: 50 scikit-learn tips

scrapers

Basic python web scraping

scratch_mlp

Explaining the Math of how neural networks learn

sequoia

A股自动选股程序，实现了海龟交易法则、缠中说禅牛市买点，以及其他若干种技术形态

sf-lectures

Software Foundations

shadowrocket-adblock-rules

提供多款 Shadowrocket 规则，带广告过滤功能。用于 iOS 未越狱设备选择性地自动翻墙。

shap

A game theoretic approach to explain the output of any machine learning model.

sharing_isl_python

An Introduction to Statistical Learning with Applications in PYTHON

sherpa

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

sk-dist

Distributed scikit-learn meta-estimators in PySpark