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1inchprotocol

1inch Protocol – fully on-chain DeFi aggregation protocol

adyen-php-api-library

Adyen API Library for PHP

algorithmic-trading-python

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

bigdata

Course repository: Big Data Statistics for R and Python (Part I)

binance-rs

Rust Library for the Binance API

bootstrap_in_r

causal-machine-learning-models

"Naive" double machine learning approach for treatment and causal parameters

causalgraphs

R code for causal graph animations

crypto-signal

Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks

dynamics-of-the-real-business-cycle-model-romer-david.-2019-.-advanced-macroeconomics

In this Project, I try compute and plot impulse responses for shocks to technology and government spending according to a real-business cycle model. For the theory behind this notebook, see Romer (2019), chapter 5, Real-Business-Cycle Theory. The key equations can be found in the ReadMe. Source of this code and methodology: Romer, David. (2019). Advanced Macroeconomics. New York: McGraw-Hill/Irwin.](https://www.mheducation.com/highered/product/advanced-macroeconomics-romer/M9781260185218.html

eattheblocks

Source code for Eat The Blocks, a screencast for Ethereum Dapp Developers

financialeconometrics

Financial Econometrics (MSc, Julia code)

iotex-explorer

Official explorer and wallet of IoTeX blockchain!

latex-thesis-template

A LaTeX template for humans.

latexify_py

A library to generate LaTeX expression from Python code.

notes-on-causal-inference

Some notes on Causal Inference, with examples in python

pancake-frontend

:pancakes: Pancake main features (farms, pools, IFO, lottery, profiles)

programming-tutorials

Created and developed by students at the University of St. Gallen.

superlearner

Current version of the SuperLearner R package

weightedporttest

:exclamation: This is a read-only mirror of the CRAN R package repository. WeightedPortTest — Weighted Portmanteau Tests for Time Series Goodness-of-fit