DeltapyDeltaPy - Tabular Data Augmentation (by @firmai)
Stars: ✭ 344 (+391.43%)
ResearchNotebooks based on financial machine learning.
Stars: ✭ 714 (+920%)
Quant NotesQuantitative Interview Preparation Guide, updated version here ==>
Stars: ✭ 180 (+157.14%)
FinanceopsResearch in investment finance with Python Notebooks
Stars: ✭ 378 (+440%)
AlphalensPerformance analysis of predictive (alpha) stock factors
Stars: ✭ 2,130 (+2942.86%)
AlgorithmictradingThis repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
Stars: ✭ 157 (+124.29%)
PyportfoliooptFinancial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Stars: ✭ 2,502 (+3474.29%)
Alpha Mindquantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.
Stars: ✭ 171 (+144.29%)
Pandas TaTechnical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
Stars: ✭ 962 (+1274.29%)
Stock2vecVariational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history
Stars: ✭ 30 (-57.14%)
Fecon235Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Stars: ✭ 708 (+911.43%)
LearnpythonforresearchThis repository provides everything you need to get started with Python for (social science) research.
Stars: ✭ 163 (+132.86%)
FinancepyA Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Stars: ✭ 416 (+494.29%)
Finrl LibraryFinRL: Financial Reinforcement Learning Framework. Please star. 🔥
Stars: ✭ 3,037 (+4238.57%)
DatageneDataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
Stars: ✭ 156 (+122.86%)
Simfin TutorialsTutorials for SimFin - Simple financial data for Python
Stars: ✭ 150 (+114.29%)
Thstrader量化交易。同花顺免费模拟炒股软件客户端的python API。(Python3)
Stars: ✭ 311 (+344.29%)
Python TrainingPython training for business analysts and traders
Stars: ✭ 972 (+1288.57%)
Dsb17 WalkthroughAn end-to-end walkthrough of the winning submission by grt123 for the Kaggle Data Science Bowl 2017
Stars: ✭ 69 (-1.43%)
TribeTribe extracts a network from an email mbox and writes it to a graphml file for visualization and analysis.
Stars: ✭ 70 (+0%)
Cnn Interpretability🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
Stars: ✭ 68 (-2.86%)
DlwithpytorchCode to accompany my upcoming book "Deep learning with PyTorch Book " from Packt
Stars: ✭ 69 (-1.43%)
Datacamp🍧 A repository that contains courses I have taken on DataCamp
Stars: ✭ 69 (-1.43%)
Fab NetPytorch code for BMVC 2018 paper
Stars: ✭ 69 (-1.43%)
Tensorflow DeepqA deep Q learning demonstration using Google Tensorflow
Stars: ✭ 1,167 (+1567.14%)
ImpulciferMeasurement and processing of binaural impulse responses for personalized surround virtualization on headphones.
Stars: ✭ 70 (+0%)
Kalman Filters Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. Kálmán, one of the primary developers of its theory.
Stars: ✭ 69 (-1.43%)
Yearn DocsDocumentation gitbook for yearn
Stars: ✭ 69 (-1.43%)
DccImplementation of CVPR 2016 paper
Stars: ✭ 70 (+0%)
Handson Ml2https://github.com/ageron/handson-ml2
Stars: ✭ 70 (+0%)
PythonPython Tutorials
Stars: ✭ 69 (-1.43%)
Starter Academic🎓 Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify
Stars: ✭ 1,158 (+1554.29%)
EconometricsCode and notebooks for Econometric Theory
Stars: ✭ 67 (-4.29%)
Nccu Jupyter Math這是政治大學應用數學系《數學軟體應用》課程的上課筆記。主要介紹 Python 程式語言, 目標是用 Python 做數據分析。
Stars: ✭ 70 (+0%)
Info490 Sp16INFO 490: Advanced Data Science, offered in the Spring 2016 Semester at the University of Illinois
Stars: ✭ 68 (-2.86%)
NsgaiiiAn implementation of NSGA-III in Python.
Stars: ✭ 67 (-4.29%)
Vkapi CourseКурс по Python по работе с VK API
Stars: ✭ 68 (-2.86%)