atkrish0's Stars
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
piskvorky/gensim
Topic Modelling for Humans
optuna/optuna
A hyperparameter optimization framework
statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
goldmansachs/gs-quant
Python toolkit for quantitative finance
jackyzha0/quartz
🌱 a fast, batteries-included static-site generator that transforms Markdown content into fully functional websites
robertmartin8/PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
dcajasn/Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
open-meteo/open-meteo
Free Weather Forecast API for non-commercial use
quantopian/research_public
Quantitative research and educational materials
letianzj/QuantResearch
Quantitative analysis, strategies and backtests
aloctavodia/Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
0xfdf/toraniko
A multi-factor equity risk model for quantitative trading.
mikinty/Trading-Interview-Questions
Guide on how to prepare for quant trading roles out of college
petedannemann/gis-programming-roadmap
One stop shop for all your GIS Programming needs
PyPatel/Quant-Finance-Resources
Courses, Articles and many more which can help beginners or professionals.
hudson-and-thames/arbitragelab
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
jacopotagliabue/MLSys-NYU-2022
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
MarcusRainbow/QuantMath
Financial maths library for risk-neutral pricing and risk
robertmartin8/MolecularNotes
My Obsidian Second Brain setup
hansbuehler/deephedging
Implementation of the vanilla Deep Hedging engine
TheNumbat/Lists
Bookmarks in graphics, algorithms, low level programming, math, languages
TheQuantPy/youtube-tutorials
Collection of resources used on QuantPy YouTube channel.
attack68/rateslib
A fixed income library for pricing bonds and bond futures, and derivatives such as interest rate swaps (IRS), cross-currency swaps (XCS) and FX swaps. Contains tools for full Curveset construction with market standard optimisers and automatic differentiaton (AD) and risk sensitivity calculations including delta and cross-gamma.
christophmark/bayesloop
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
luinardi/hypermapper
Black-box Optimizer based on Bayesian Optimization
eightsmile/cqf
The CQF resources and my learning records
beratkirik/CPP-Programming-for-Financial-Engineering
QuantNet course on C++ programming (completed with Certificate with Distinction)