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python-mini-projects

A collection of simple python mini projects to enhance your python skills

python-training

Python training for business analysts and traders

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonprojects

Recently I have completed the "Python Mega Course" by the Funky Programmer. And I have uploaded some of the programs as well as projects that I have completed during this course.

python_option_pricing

An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options

pytorch_geometric_temporal

A Temporal Extension Library for PyTorch Geometric

qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

qtpylib

QTPyLib, Pythonic Algorithmic Trading

quant-trading

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

quantitative_toolbox

On this repository you'll find tools used for Quantitative Analysis and some examples such: MonteCarlo Simulations, Linear Regression, General Data Visualiztions, Time-Series Analysis, etc.

quantsoftwaretoolkit

QuantSoftwareToolkit

quantstats

Portfolio analytics for quants, written in Python

reinforcement_learning_course_materials

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

repo-visualizer-demo

riskfolio-lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

rust-sandbox-mandelbrot

scalecast

The practitioner's forecasting library

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

setriq

Fast distance computation between immunoglobulin sequences

shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

shapash

🔅 Shapash makes Machine Learning models transparent and understandable by everyone

sharknado2

shark detection 🦈based on a Colab trainable bounding box regression and the sharknado classification model.

simulated-annealing-tsp

Parameterising Simulated Annealing for the Travelling Salesman Problem

skywalkr

code for Gogleva et al manuscript

som-tsp

Solving the Traveling Salesman Problem using Self-Organizing Maps

spectre

GPU-accelerated Factors analysis library and Backtester

sqlmodel

SQL databases in Python, designed for simplicity, compatibility, and robustness.

squeaker

stat479-deep-learning-ss19

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

stats.seandolinar.com-tutorials